{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 幸福感调查分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['font.sans-serif'] = ['KaiTi']\n",
    "plt.rcParams['font.serif'] = ['KaiTi']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 数据处理及清洗"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>happiness</th>\n",
       "      <th>survey_type</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>county</th>\n",
       "      <th>survey_time</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth</th>\n",
       "      <th>nationality</th>\n",
       "      <th>...</th>\n",
       "      <th>neighbor_familiarity</th>\n",
       "      <th>public_service_1</th>\n",
       "      <th>public_service_2</th>\n",
       "      <th>public_service_3</th>\n",
       "      <th>public_service_4</th>\n",
       "      <th>public_service_5</th>\n",
       "      <th>public_service_6</th>\n",
       "      <th>public_service_7</th>\n",
       "      <th>public_service_8</th>\n",
       "      <th>public_service_9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>32</td>\n",
       "      <td>59</td>\n",
       "      <td>2015-08-04 14:18:00</td>\n",
       "      <td>1</td>\n",
       "      <td>1959</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>85</td>\n",
       "      <td>2015-07-21 15:04:00</td>\n",
       "      <td>1</td>\n",
       "      <td>1992</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>85.0</td>\n",
       "      <td>70</td>\n",
       "      <td>90</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>83</td>\n",
       "      <td>126</td>\n",
       "      <td>2015-07-21 13:24:00</td>\n",
       "      <td>2</td>\n",
       "      <td>1967</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>90</td>\n",
       "      <td>80</td>\n",
       "      <td>75</td>\n",
       "      <td>79</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "      <td>2015-07-25 17:33:00</td>\n",
       "      <td>2</td>\n",
       "      <td>1943</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>100</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>2015-08-10 09:50:00</td>\n",
       "      <td>2</td>\n",
       "      <td>1994</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 140 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  happiness  survey_type  province  city  county         survey_time  \\\n",
       "0   1          4            1        12    32      59 2015-08-04 14:18:00   \n",
       "1   2          4            2        18    52      85 2015-07-21 15:04:00   \n",
       "2   3          4            2        29    83     126 2015-07-21 13:24:00   \n",
       "3   4          5            2        10    28      51 2015-07-25 17:33:00   \n",
       "4   5          4            1         7    18      36 2015-08-10 09:50:00   \n",
       "\n",
       "   gender  birth  nationality        ...         neighbor_familiarity  \\\n",
       "0       1   1959            1        ...                            4   \n",
       "1       1   1992            1        ...                            3   \n",
       "2       2   1967            1        ...                            4   \n",
       "3       2   1943            1        ...                            3   \n",
       "4       2   1994            1        ...                            2   \n",
       "\n",
       "   public_service_1  public_service_2 public_service_3  public_service_4  \\\n",
       "0                50                60               50                50   \n",
       "1                90                70               70                80   \n",
       "2                90                80               75                79   \n",
       "3               100                90               70                80   \n",
       "4                50                50               50                50   \n",
       "\n",
       "   public_service_5  public_service_6  public_service_7  public_service_8  \\\n",
       "0              30.0                30                50                50   \n",
       "1              85.0                70                90                60   \n",
       "2              80.0                90                90                90   \n",
       "3              80.0                90                90                80   \n",
       "4              50.0                50                50                50   \n",
       "\n",
       "   public_service_9  \n",
       "0                50  \n",
       "1                60  \n",
       "2                75  \n",
       "3                80  \n",
       "4                50  \n",
       "\n",
       "[5 rows x 140 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 导入数据，解析survey_time列的值作为独立的日期列，指定字符集类型\n",
    "train = pd.read_csv('happiness_train_complete.csv', parse_dates=['survey_time'], encoding='latin-1')\n",
    "test = pd.read_csv('happiness_test_complete.csv', parse_dates=['survey_time'], encoding='latin-1')\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8000, 140)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 2, 3, 4, 5, -8}\n"
     ]
    }
   ],
   "source": [
    "o=set(train['happiness'])\n",
    "print(o)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 处理异常值\n",
    "# 将happiness中的‘-8’无法回答，改为‘3’说不上幸福不幸福\n",
    "train['happiness'] = train['happiness'].replace(-8, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 Total   Percent    Types\n",
      "edu_other         7997  0.009996   object\n",
      "edu_status        1120  0.001400  float64\n",
      "edu_yr            1972  0.002465  float64\n",
      "join_party        7176  0.008970  float64\n",
      "property_other    7934  0.009917   object\n",
      "hukou_loc            4  0.000005  float64\n",
      "social_neighbor    796  0.000995  float64\n",
      "social_friend      796  0.000995  float64\n",
      "work_status       5049  0.006311  float64\n",
      "work_yr           5049  0.006311  float64\n",
      "work_type         5049  0.006311  float64\n",
      "work_manage       5049  0.006311  float64\n",
      "family_income        1  0.000001  float64\n",
      "invest_other      7971  0.009964   object\n",
      "minor_child       1066  0.001332  float64\n",
      "marital_1st        828  0.001035  float64\n",
      "s_birth           1718  0.002148  float64\n",
      "marital_now       1770  0.002213  float64\n",
      "s_edu             1718  0.002148  float64\n",
      "s_political       1718  0.002148  float64\n",
      "s_hukou           1718  0.002148  float64\n",
      "s_income          1718  0.002148  float64\n",
      "s_work_exper      1718  0.002148  float64\n",
      "s_work_status     5435  0.006794  float64\n",
      "s_work_type       5435  0.006794  float64\n"
     ]
    },
    {
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       "    .dataframe thead tr:only-child th {\n",
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       "      <th>happiness</th>\n",
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       "      <th>city</th>\n",
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       "      <th>nationality</th>\n",
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       "      <th>public_service_7</th>\n",
       "      <th>public_service_8</th>\n",
       "      <th>public_service_9</th>\n",
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       "  </thead>\n",
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       "      <th>Total</th>\n",
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       "      <th>Percent</th>\n",
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       "      <th>Types</th>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
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       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
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       "      <td>datetime64[ns]</td>\n",
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       "      <td>int64</td>\n",
       "      <td>...</td>\n",
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       "      <td>float64</td>\n",
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       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>3 rows × 140 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id happiness survey_type province   city county     survey_time  \\\n",
       "Total        0         0           0        0      0      0               0   \n",
       "Percent      0         0           0        0      0      0               0   \n",
       "Types    int64     int64       int64    int64  int64  int64  datetime64[ns]   \n",
       "\n",
       "        gender  birth nationality       ...        neighbor_familiarity  \\\n",
       "Total        0      0           0       ...                           0   \n",
       "Percent      0      0           0       ...                           0   \n",
       "Types    int64  int64       int64       ...                       int64   \n",
       "\n",
       "        public_service_1 public_service_2 public_service_3 public_service_4  \\\n",
       "Total                  0                0                0                0   \n",
       "Percent                0                0                0                0   \n",
       "Types              int64            int64            int64            int64   \n",
       "\n",
       "        public_service_5 public_service_6 public_service_7 public_service_8  \\\n",
       "Total                  0                0                0                0   \n",
       "Percent                0                0                0                0   \n",
       "Types            float64            int64            int64            int64   \n",
       "\n",
       "        public_service_9  \n",
       "Total                  0  \n",
       "Percent                0  \n",
       "Types              int64  \n",
       "\n",
       "[3 rows x 140 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 检查是否有缺失值\n",
    "def check_missing(df):\n",
    "    miss = df.isnull().sum().any()\n",
    "    if miss:\n",
    "        total_miss = df.isnull().sum()\n",
    "        percent = (df.isnull().sum())/(df.isnull().count()*100)\n",
    "        output = pd.concat([total_miss, percent], axis=1, keys=['Total', 'Percent'])\n",
    "        data_type = []\n",
    "        for col in df.columns:\n",
    "            dType =str(df[col].dtype)\n",
    "            data_type.append(dType)\n",
    "        output['Types'] = data_type\n",
    "        print(output[output['Total'] != 0])\n",
    "        return np.transpose(output)\n",
    "    else:\n",
    "        return False\n",
    "check_missing(train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 填充缺失值，hukou_loc、family_income以均值填充\n",
    "train['hukou_loc'] = train['hukou_loc'] .fillna(4)\n",
    "train['family_income'] = train['family_income'] .fillna(train['family_income'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    56\n",
       "1    23\n",
       "2    48\n",
       "3    72\n",
       "4    21\n",
       "Name: age, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算调查者年龄，调查年份-出生年份\n",
    "import datetime\n",
    "train['survey_time'] = train['survey_time'].dt.year  # 调查时间datetime转换为年\n",
    "train['age'] = train['survey_time'] - train['birth']\n",
    "test['survey_time'] = test['survey_time'].dt.year  \n",
    "test['age'] = test['survey_time'] - test['birth']\n",
    "train['age'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 描述性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>happiness</th>\n",
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       "      <th>public_service_6</th>\n",
       "      <th>public_service_7</th>\n",
       "      <th>public_service_8</th>\n",
       "      <th>public_service_9</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8000.00000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>8000.00000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.00000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4000.50000</td>\n",
       "      <td>3.866625</td>\n",
       "      <td>1.405500</td>\n",
       "      <td>15.155375</td>\n",
       "      <td>42.564750</td>\n",
       "      <td>70.619000</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>1.53000</td>\n",
       "      <td>1964.707625</td>\n",
       "      <td>1.37350</td>\n",
       "      <td>...</td>\n",
       "      <td>70.809500</td>\n",
       "      <td>68.170000</td>\n",
       "      <td>62.737625</td>\n",
       "      <td>66.320125</td>\n",
       "      <td>62.794187</td>\n",
       "      <td>67.064000</td>\n",
       "      <td>66.09625</td>\n",
       "      <td>65.626750</td>\n",
       "      <td>67.153750</td>\n",
       "      <td>50.292375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2309.54541</td>\n",
       "      <td>0.818792</td>\n",
       "      <td>0.491019</td>\n",
       "      <td>8.917100</td>\n",
       "      <td>27.187404</td>\n",
       "      <td>38.747503</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49913</td>\n",
       "      <td>16.842865</td>\n",
       "      <td>1.52882</td>\n",
       "      <td>...</td>\n",
       "      <td>21.184742</td>\n",
       "      <td>20.549943</td>\n",
       "      <td>24.771319</td>\n",
       "      <td>22.049437</td>\n",
       "      <td>23.463162</td>\n",
       "      <td>21.586817</td>\n",
       "      <td>23.08568</td>\n",
       "      <td>23.827493</td>\n",
       "      <td>22.502203</td>\n",
       "      <td>16.842865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1921.000000</td>\n",
       "      <td>-8.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.00000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2000.75000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1952.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.00000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>38.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4000.50000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>1965.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>70.00000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6000.25000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>1977.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.00000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>63.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8000.00000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>8.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.00000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>94.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 138 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id    happiness  survey_type     province         city  \\\n",
       "count  8000.00000  8000.000000  8000.000000  8000.000000  8000.000000   \n",
       "mean   4000.50000     3.866625     1.405500    15.155375    42.564750   \n",
       "std    2309.54541     0.818792     0.491019     8.917100    27.187404   \n",
       "min       1.00000     1.000000     1.000000     1.000000     1.000000   \n",
       "25%    2000.75000     4.000000     1.000000     7.000000    18.000000   \n",
       "50%    4000.50000     4.000000     1.000000    15.000000    42.000000   \n",
       "75%    6000.25000     4.000000     2.000000    22.000000    65.000000   \n",
       "max    8000.00000     5.000000     2.000000    31.000000    89.000000   \n",
       "\n",
       "            county  survey_time      gender        birth  nationality  \\\n",
       "count  8000.000000       8000.0  8000.00000  8000.000000   8000.00000   \n",
       "mean     70.619000       2015.0     1.53000  1964.707625      1.37350   \n",
       "std      38.747503          0.0     0.49913    16.842865      1.52882   \n",
       "min       1.000000       2015.0     1.00000  1921.000000     -8.00000   \n",
       "25%      37.000000       2015.0     1.00000  1952.000000      1.00000   \n",
       "50%      73.000000       2015.0     2.00000  1965.000000      1.00000   \n",
       "75%     104.000000       2015.0     2.00000  1977.000000      1.00000   \n",
       "max     134.000000       2015.0     2.00000  1997.000000      8.00000   \n",
       "\n",
       "          ...       public_service_1  public_service_2  public_service_3  \\\n",
       "count     ...            8000.000000       8000.000000       8000.000000   \n",
       "mean      ...              70.809500         68.170000         62.737625   \n",
       "std       ...              21.184742         20.549943         24.771319   \n",
       "min       ...              -3.000000         -3.000000         -3.000000   \n",
       "25%       ...              60.000000         60.000000         50.000000   \n",
       "50%       ...              79.000000         70.000000         70.000000   \n",
       "75%       ...              80.000000         80.000000         80.000000   \n",
       "max       ...             100.000000        100.000000        100.000000   \n",
       "\n",
       "       public_service_4  public_service_5  public_service_6  public_service_7  \\\n",
       "count       8000.000000       8000.000000       8000.000000        8000.00000   \n",
       "mean          66.320125         62.794187         67.064000          66.09625   \n",
       "std           22.049437         23.463162         21.586817          23.08568   \n",
       "min           -3.000000         -3.000000         -3.000000          -3.00000   \n",
       "25%           60.000000         55.000000         60.000000          60.00000   \n",
       "50%           70.000000         70.000000         70.000000          70.00000   \n",
       "75%           80.000000         80.000000         80.000000          80.00000   \n",
       "max          100.000000        100.000000        100.000000         100.00000   \n",
       "\n",
       "       public_service_8  public_service_9          age  \n",
       "count       8000.000000       8000.000000  8000.000000  \n",
       "mean          65.626750         67.153750    50.292375  \n",
       "std           23.827493         22.502203    16.842865  \n",
       "min           -3.000000         -3.000000    18.000000  \n",
       "25%           60.000000         60.000000    38.000000  \n",
       "50%           70.000000         70.000000    50.000000  \n",
       "75%           80.000000         80.000000    63.000000  \n",
       "max          100.000000        100.000000    94.000000  \n",
       "\n",
       "[8 rows x 138 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 显示数据的统计量，均值、标准差、最小值、分位数、最大值\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.004704486424158736"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 年龄与幸福指数的pearson相关系数，几乎不相关\n",
    "train['happiness'].corr(train['age'], method='pearson') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05168655743647719"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 家庭收入与幸福指数的pearson相关系数，几乎不相关\n",
    "train['happiness'].corr(train['family_income'], method='pearson') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 探索性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ERMqLbmjLxORP/+kCl+5e5oUrP2zm6c9VBksF8BVgSbwpcZbfYURERKS8qGVliJv8id/X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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13993860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5个等级幸福感的柱状图，5个等级的占比图\n",
    "f,ax=plt.subplots(1,2,figsize=(14,6))\n",
    "# 部分分离开\n",
    "explode = (0.05,0.05,0,0,0)\n",
    "train['happiness'].value_counts().plot.pie(autopct='%1.1f%%',ax=ax[0],shadow=True,explode=explode)\n",
    "ax[0].set_xlabel('happiness_level')\n",
    "# 用seaborn的计数图\n",
    "sns.countplot('happiness',data=train,ax=ax[1])\n",
    "# ax[1] = train['happiness'].value_counts().plot.bar()\n",
    "ax[1].set_title('How much people are happy',fontsize=15)\n",
    "ax[1].set_xlabel('happiness_level')\n",
    "ax[1].set_ylabel('number')\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender  happiness\n",
       "1       1              43\n",
       "        2             216\n",
       "        3             596\n",
       "        4            2306\n",
       "        5             599\n",
       "2       1              61\n",
       "        2             281\n",
       "        3             575\n",
       "        4            2512\n",
       "        5             811\n",
       "Name: happiness, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 分性别分析,1男，2女\n",
    "train.groupby(['gender', 'happiness'])['happiness'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x13dd1710>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SmtPfwZK+Jul+SZeVLLdZmZmZWaXqLhECI4BrI6IpIpqAbYExwBHA85LGSzqs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\nXwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13dd1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zxAYF3G06jkwqrvGxzdl/2uKxjs7cHVwl5VQffPYWj5WNnsiIq/+z1fbKx+4H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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13dd1208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 男女的幸福指数比较\n",
    "# hue为色彩色度的意思，可以理解为hue决定具有多彩的标签\n",
    "sns.countplot(x='gender', hue='happiness', data=train)\n",
    "plt.title('The number of people with different happiness level by sex',fontsize=15)\n",
    "# 在男性女性中，5个happiness level所占比例pie图\n",
    "fig,ax1 = plt.subplots(1,2,figsize=(10,5))\n",
    "# 部分分离开\n",
    "explode = (0.05,0.03,0,0,0)\n",
    "train['happiness'][train['gender']==1].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[0], explode=explode,title='male')\n",
    "train['happiness'][train['gender']==2].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[1], explode=explode,title='female')\n",
    "fig.suptitle('The proportion of happiness level in differenr gender', fontsize=18, verticalalignment='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14086c18>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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R/sRj96gonH+2BxYEYfS/wGn1dbWLfQeSzzLnnO8M/TJjxgz35JNP+o5RcObv\nPDur65+9YH5W1y+566WXXmKzzTbzHaNbl19+OT/60Y+YNm0aAN/61rc49NBDU7ptd/tlZk8552Zk\nPKgUjSCMjPj69r8k7icr+a0JqCO+UkeT7zAikpogjCYDlwH7+84iGbEM+F59Xe1vfQeRtakoIWtR\nUUKyJZeLEgOhooRkWhBGmwFXAmpuWnheB75eX1d7v+8gItK7IIyOJ7787yjfWSTjHgC+UV9Xu9B3\nEImp+4aIiEgOSK6q8VPiKzlUeI4j2bEhcG8QRpcAZ9bX1Tb6DiQiawvCKACuBnb1HEWyZw7wXBBG\n5wJ19XW1rb4DFTsNdCkiIuJZEEafAx4hLkqoIFHYDDgVeDoIo+18hxGRTwVh9G3gBVSQKAZVwDnA\nQ0EYbeg7TLFTUUJERMSjIIxOAJ4GtvWdRQbV54GHgzD6eRBGarkq4lEQRmOTQWl/A1T7ziODagfg\n2SCMvuY7SDFTUUJERMSDIIxGB2H0R+Aa9Ca4WJUBPwMeDcJoE99hRIpRcrnIZ4F9fGcRb4YDNwVh\ndHMQRiN8hylGqsyLSM750m++lNH1/d+p/9fnMsuWLeOpp55i+vTpjBs3LqPbF+kqCKPZwM3AFN9Z\nJCdsCzwZhNHx9XW1f/IdRqQYBGFUAvwYOAso9RxHcsORwI5BGB1ZX1f7qO8wxUQtJUSk6C1fvpx9\n9tmHxx9/nDlz5rB4sS5hLdkThNHpwH2oICFrGwH8MQijC9WdQyS7gjCaBNwNnI0KErK2DYEFQRid\n7DtIMdGLnogUveeee44LL7yQmTNnsnz5cp5++mn22GMP37GkwARhVEl8qc9jfGeRnHY6sG0QRgfX\n19V+6DuMSKEJwmgb4O/Aur6zSM4qBy4Nwmhb4OT6utpm34EKnVpKiEjRmz17NjNnzmTBggU8/vjj\n7Ljjjr4jSYEJwmgdYAEqSEhqdibuzjHDdxCRQhKE0VeBB1FBQlJzPHGricm+gxQ6FSVERADnHLfc\ncgujR4+mvLzcdxwpIEEY7QA8CWzvO4vklfWAB4MwOtB3EJFCEITRj4HbgKG+s0he2R54PGlhI1mi\nooSICGBmXHrppWy11Vb8/e9/9x1HCkQQRkcC8wF9yyL9UQXcFoTRqb6DiOSrIIwqgzC6GfgFYL7z\nSF6aQlwk3t93kEKV8aKEmY00szvN7G4z+4uZVZjZW2Y2L5m2TJb7uZk9YWaXdrrtZ+aJiGTbL3/5\nS2688UbBYDuPAAAgAElEQVQAVqxYwahRozwnkkIQhNFpwE1Ape8sktdKgP8Jwuj8IIz0gUokDUEY\njQHuJ76qgshADCUejPh430EKUTYGujwSuNA5d4+ZXQ6EwO+dc2d2LGBm2wKziJvD/MzMdgWWd53n\nnLs3C/lEJMelcgnPTDrppJM45JBDuOaaa9hiiy3YfffdB3X7UniCMDoX+JHvHFJQvg+sG4TRcfV1\ntS2+w4jkuuQKG/cAW/jOIgWjFLg2CKNx9XW15/sOU0gyXpRwzl3W6c/xwNvAPmY2B3ge+AYwG/iT\nc86Z2T+BvYCV3cxTUUJEsm706NHcc889vmNIAUiue38Z8WudSKYdAUwKwuiA+rraj3yHEclVQRit\nT/w5YmPfWaQg/TIpTPzAd5BCkbUxJcxsR2A0cYVyV+fc9sSXV9kbqAbeSRZdBkzsYV7XdZ5kZk+a\n2ZOLFy/OVnQREZG0BWFUAdyCChKSXbsA9wZhNNJ3EJFcFITRpsRX2FBBQrLp+0EYXRuEUanvIIUg\nK0UJMxsD/Ib4MirPOefeS/71JLAJ8DEwJJk3LMnR3by1OOeucs7NcM7NGD9+fDaii4iIpC0Ioyrg\nduAg31mkKGwH3KPChMjagjDamvjyy+v5ziJF4Xjg1iCMsjEkQlHJxkCXFcSX2/mhc+5N4CYzm2Zm\npcD+wL+Ap4jHjwCYBtT3ME9ERCSnJS0k/gLs5juLFBUVJkQ6CcJoBvAAMMF3FikqBwI3Jd03pZ+y\nceedAGwD/NjM5gH/Jh59/FngkWTwyoeA6WZ2MclAmD3MExERyVnJtyO3AHv6ziJFSYUJESAIo2nA\n3YAunyU+HAZcpysk9V82Brq8HLi8y+yfd1mmPbniRi1wsXPuDYDu5olI8Zm/8+yMrm/2gvkZXZ8I\nQNKP9GbiVoAivnQUJnarr6td6TuMyGALwmgz4jHsRvvOIkXtGKAR+JbvIPnIWzMT51yjc+6PzrnX\ne5snIjJYPvjgA6ZPn+47huSB5NuQ64BDfWcRIS5M3BmE0ZA+lxQpIEEYBcRX2dBgc5ILvhmE0UW+\nQ+Qj9X0REUl873vfo7Gx0XcMyQ+XAUf7DiHSyY7A/6pfsxSLIIwmELeQWMd3FpFOTgvC6FzfIfKN\nXrhERID777+f6upqJk2a5DuK5LggjM4Cvuk7h0g39ie++plIQQvCaATwT3TZT8lNPwrC6Ou+Q+QT\nFSVEpOi1tLRwzjnnUFdX5zuK5LggjI4B5vrOIdKLk4MwCn2HEMmWZDyfPwBb+84i0ovLgjDSVblS\npKKEiBS9uro6Tj75ZEaN0qDd0rMgjL4MXO07h0gK/l8QRl/zHUIkSy4A9vIdQqQPZcAfgzDawneQ\nfKCihIgUvXvvvZdLL72Umpoann32WU488UTfkSTHBGG0KfBHoNx3FpEUGPHl6b7sO4hIJgVhdBLw\nHd85RFI0AoiCMFLf4D5k/JKgIiIDNdiX8FywYMEnv9fU1HDNNdcM6vYltwVhNAa4HVBTGskn5cCt\nQRhtW19XW+87jMhABWE0B7jUdw6RNE0F/hGE0ez6utoG32FylVpKiIh0Mm/ePN8RJIckfZdvQ4Op\nSX4aA/xZlwqVfBeE0SbAn9AXqpKfZhBfRlx6oKKEiIhIz84GdvEdQmQApgNX+A4h0l9BGA0D/g6M\n9p1FZAAODcLoFN8hcpWKEiIiIt0IwmhP4Ie+c4hkwNFBGJ3sO4RIP10BfN53CJEMuDAIo+18h8hF\nKkqIiIh0EYTRFOBm4gEDRQrBr4Mw2tF3CJF0BGF0AnCk7xwiGVIB3JaMVSWdqCghIiLSSRBG5cCt\nwFjfWUQyqJz48nTjfQcRSUVyKcXf+M4hkmHrAzcGYaQvPTrRYDEiknMu+e4/Mrq+b1/wlYyuTwpe\nHaBvlKUQrQNcA+znO4hIb4IwGkpcHNYgrVKIaoEQOM93kFyhlhIiUvRaW1uZOnUqNTU11NTU8Pzz\nz/uOJJ4EYbQPcIbvHCJZtG8QRif6DiHSh0uBzXyHEMmis4MwmuE7RK5QUUJEit5zzz3H4Ycfzrx5\n85g3bx5bbrml70jiQdLH8yrfOUQGwUVBGG3kO4RId4IwOhQ41ncOkSwrA24IwqjKd5BcoKKEiBS9\nRx99lNtvv53tt9+eE044gdbWVt+RxI/fAJN9hxAZBMOI+zSX+g4i0lkQRhOAS3znKBTOtdO6aqnv\nGNKzzYFzfIfIBRpTQkSK3nbbbce9997L5MmTOfroo7njjjvYd999fceSQRSE0QHAEb5ziAyiLxL3\naT7XdxCRTi4BxvkOMdhcexvvXHEiZaMmAjBq1pGsevp22hpWUjZiPGP3+g5W2v3Htnd/eyolldUA\njNzxUEqqqlly+4WM2+cM2htXUTFRjaJy3BlBGP21vq72/3wH8UktJUSk6G211VZMnhx/QT5jxgwW\nLlzoOZEMpiCMxgFX+M5RCNpWL8e1qaVRHjkrCKNtfIcQAQjC6KvAwb5z+NDy4RtUb74zk46oY9IR\ndTS+9gRDP/dFJh1RR+mwMax+cV63t2tr/IjyMVM+ud2QDabT9NZzjJ5zPE1vPUdbw0pKq0cN7s5I\nukqA65PBXYuWihIiUvSOOuoo/vWvf9HW1sZf//pXpk2b5juSDK5LgAm+Q/iw9O7LaHj1MQCW3HEx\n7930XVY8/Icel1/1zB28/78h7/9vyLu/PZWld13CR0/9g/duOJ32liYa33i6x2/zJCeVA1erG4f4\nFoTRWOAy3zl8aXn3ZRpffYL3bjydJXdczJqlb1MxaWMASoeOpL15dY+3a3nvFd6/6Xt8+Odf0N7c\nAJTgWltoXfE+5WPWHcS9kAHYGDjfdwif9M5BRHLOYF/C82c/+xlHHHEEzjn23Xdfdt1110HdvviT\nfDN3qO8cPjS9/QJtq5czdOMdaHj5YXDtTD7qApbc8WvWLHun2zezw6fvzfDpewOw7J4rqN7iy3z8\n7J0Mm7Y7Le+/gpVrvK48tA1wMvGYKiK+/A9FWhwGqJi8CRMO+wVlw8aw5PYLGLrpLFY+ehvVm83m\n4+fuYcLBc7u9XdmoSUw45GzKx6zLigdv5uPn72Xoxtux9I6LqVx/K1a/OJ+mt19g5A5fHdwdkv44\nOQijm+vrah/1HcQHtZQQkaK3xRZb8Nxzz/H8889z7rnqXl0sgjCqBi72ncMH19bK0rsuoWzEBBoW\nPkrT289T/flZAAwJptO86MVeb9+6agltq1dQOXkTnHO4tlYa33iGIRtuOxjxJfN+EYSRBnkVL4Iw\n2psiH9OnYvwGlA0bE/8+aRPaG1cyfJt9aPjPg1SuuxllIyd2e7uyUZMoG73OJ7drXf4u5WPXY8Jh\nv6By4sa0tzSyZumiQdsPGRADLg3CqCg/nxflTouIiAA/BoqybevHL9xP+bj1GLnDQTS/9wqrno4o\nHT4WgJIhw2lrWNHr7Vc9HX3SYmLIBtNpfO0JyoaPY/GfzqHpzeeynl8ybgRwke8QUnyCMKoAfu07\nh29Lbr+Alg9fx7W30bDwUconbEjFxA1pWfwmI2cd2ePtViy4icZXHweg4eWHKJ+wAQCNrz9F1Ybb\nYGaY2aDsg2TENsA3fYfwQUUJERk0zjnfETKq0PanmARhtDHwXd85fFnz4WsMn7YnpcNGM2zzOVSu\n9wXcmhYAXEsT9HJsO9dO01vPUTl1SwCqN9uZUV86gpKqaoZstB0NrxT1AOL57NAgjHbzHUKKzneA\nTXyH8G3klw5jye0X8t5v/4vKdT/PkGBrVj9/H0M2mkFZUjBub25g+QPXrXW74dvtz8pHbuHda0/G\nSssZtsWX4384R0l5Fe2tzZRUDRvs3ZGB+UUyAHdR0ZgSIjIoqqqqWLp0KWPHji2Iqr1zjqVLl1JV\npT70eepioMJ3CF/KRq1D64r3AWh+fyGtKz+kadGLVK77eVo+fIPysT03IGl++99UTt50refxmuXv\nUj5mXdqbVqtYl98uC8Joy/q62ibfQaTwBWE0Cfip7xy5oGJ8wDrHX7LWvGFbrV0jLKkcyug5x681\nr2zYGCYffeFn1tfRHW/8V76f4aQyCEYDdcCJvoMMJhUlRGRQTJkyhUWLFrF48WLfUTKmqqqKKVOm\n+I4haQrCaB9gb985fBq21W4svfNiVr+0ANfeyqTDz+PDP51N28dLaXz9KSYffQGtKz9k9UvzGTlz\n7Sv0Nb7xNFXrbfHJ3+3NDZRWj6Z87Hos/ecljPri4YO9O5I5GwOnA+f5DiJF4TxguO8QIjno+CCM\nrq6vq33Md5DBYvn6jcaMGTPck08+6TtGwZm/8+ysrn/2gvlZXb9ILjCzp5xzM3znkM8KwqgS+Dew\nke8suaat6WOa3niGqvW2oHTYaN9xxJ+VwIb1dbXLfAeRwhWE0fbAo8SD+4nIZz1RX1e7ve8Qg0Vj\nSoiISDE5FRUkulVaNYzqzXZSQUJGEg8CK5JNF6OChEhvtksuW14UVJQQEZGiEITRcOBM3zlE8sAp\nQRhN9R1CClMQRgcAM33nEMkD5wRhVOo7xGBQUUJERIrFaUDRjWgt0g+VwDm+Q0jhCcLIgJ/7ziGS\nJzYDjvIdYjCoKCEiIgUvCKPRFPElQEX64WtBGG3pO4QUnIMBHVciqZsbhFHBXy1MRQkRESkG3yfu\nKy8iqSlBV+GQDArCqASY6zuHSJ5ZH/im7xDZpqKEiIgUtCCMxgP/5TuHSB6qDcJIVxKSTDmCuDm6\niKTnx0EYVfsOkU0qSoiISKELgYJ+MRfJIl2JQwYsCKMy4CzfOUTy1AQKvLWEihIiIlKwgjAaQ4G/\nkItk2X5BGG3hO4TkvSOAjX2HEMljpxfy2BIqSoiISCH7FjDUdwiRPGboUroycGf4DiCS59YFvuY7\nRLaoKCEiIgUp+UbhFN85RArAYUEYrec7hOSnIIx2Aab5ziFSAL6fXFa34KgoISIiheoIYLLvECIF\noAw43XcIyVtqJSGSGZ8Han2HyAYVJUREpFDpQ5RI5nw9CKNRvkNIfgnCaFNgb985RApIQRb5VJQQ\nEZGCE4TRbsBWvnOIFJBhwNG+Q0jeOY14XBIRyYw5QRht7TtEpqkoISIihaggv0kQ8ewk3wEkfyRX\nP1IhSyTzCu6qYipKiIhIQQnCaANgD985RArQF4Iw+pLvEJI3jkdXPxLJhiOCMKr2HSKTVJQQEZFC\ncxxqLiySLWotIak63ncAkQI1HDjEd4hMUlFCREQKRhBGJcAxvnOIFLBDgjAa7TuE5LYgjHYANvOd\nQ6SAneg7QCapKCEiIoVkV2Cq7xAiBawKjRMgfTvOdwCRAvfFIIw29x0iU1SUEBGRQqLmwiLZpy4c\n0qMgjIYAh/nOIVIECqa1hIoSIiJSEJIm5fv7ziFSBDYPwmgb3yEkZx0AjPQdQqQIHBWEUYXvEJmQ\n8aKEmY00szvN7G4z+4uZVZjZtWb2iJn9pNNyKc0TERFJ0ZFApe8QIkXiUN8BJGep64bI4BgH7OY7\nRCZko6XEkcCFzrndgfeJm2+VOud2BDY0s03M7MBU5mUhm4iIFK7DfQcQKSIFNfK7ZEYQRusAu/jO\nIVJEDvYdIBMyXpRwzl3mnLsn+XM88DXg1uTvu4FZQE2K89ZiZieZ2ZNm9uTixYszHV1ERPJUEEaT\ngR195xApIkEQRtv7DiE556uoe7jIYNqvELpwZO2kYWY7AqOBt4F3ktnLgIlAdYrz1uKcu8o5N8M5\nN2P8+PHZii4iIvnnAMB8hxApMurCIV0d5DuASJEZRXzlsbyWlaKEmY0BfkM8CvrHwJDkX8OSbaY6\nT0REJBUH+g4gUoQODsJIxUABIAijiXTT0llEsi7vi4HZGOiyArgN+KFz7k3gKT49QU0D6tOYJyIi\n0qsgjMYAs33nEClC66FuU/KpfdGXiiI+7B+EUbnvEANRloV1ngBsA/zYzH4M/BY4yszWAfYCZgIO\neDCFeSIiIn3Zl+y8nolI3w4EHvYdQnLCfr4DiBSp0cCXgbt8B+mvbAx0eblzbrRzriaZbiAexPJR\nYI5zbqVz7qNU5mU6m4iIFCR13RDxZw/fAcS/IIyqiT8UiYgf+/gOMBCD0sTKObfcOXerc+79dOeJ\niIj0JAijIRTINbpF8tQWQRit6zuEeLcbUOU7hEgR2913gIFQvy8REclnO6M3wiK+qbWEqDgs4tcm\nQRit7ztEf6kProhkzfydszf24OwF87O2bskref3NgEiB2AO4zncI8WoX3wFEhN2Bq32H6A+1lBAR\nkXymb+dE/Ns1CCO9pyxSQRitA3zedw4Ryd/3RHoBERGRvBSE0QRgS985RIQxwHa+Q4g3aiUhkhu+\nnK8F4rwMLSIiQnzFJhHJDepKVbx01Q2R3DAGmOE7RH+oKCEiIvmqxncAEfnELN8BxBu1lBDJHXN8\nB+gPFSVERCRf1fgOICKf2D4II/MdQgZXEEYbAVN95xCRT+zgO0B/qCghIiJ5JwijUWhgNZFcoudk\ncdrRdwARWYuKEiIiIoNkW0DfyorkFn1ALT4a4FQkt6wThNEU3yHSpaKEiIjko7wcyEmkwM30HUAG\nnc7FIrkn71pLqCghIiL5SG+ERXKPihJFJAijUmBr3zlE5DPy7lysooSIiOQjFSVEcs8XgjAa7juE\nDJrNgaG+Q4jIZ6ilhIiISDYFYTQGCHznEJHPKAGm+w4hg0bFYZHctG0QRnn1OT+vwoqIiKA3wiK5\nbHPfAWTQ6FwskpuGAhv6DpEOFSVERCTfbOM7gIj0SEWJ4jHNdwAR6dFmvgOkQ0UJERHJN5v6DiAi\nPVJRonh83ncAEemRihIiIiJZ9DnfAUSkRypKFIFkbJ+xvnOISI9UlBAREcmiTXwHEJEeTQ7CaJTv\nEJJ1Kg6L5DYVJURERLIh+bAz3ncOEemVWksUPhUlRHKbihIiIiJZolYSIrlPRYnCp6KESG4bEYTR\nOr5DpEpFCRERySd6IyyS+wLfASTrdC4WyX0b+w6QKhUlREQkn6ilhEjum+I7gGSdzsUiuW9d3wFS\npaKEiIjkk8B3ABHpk4oShW893wFEpE8qSoiIiGTBZN8BRKRPKkoUsCCMyoExvnOISJ/y5lysooSI\niOSTib4DiEif8ubbOemXiYD5DiEifcqbc7GKEiIikk8m+Q4gIn0ally+VwqTzsMi+UFFCRERyU9m\ntp6ZbW5mU8zs52Y23XcmgCCMSoBxvnOISEry5s1wrsrVczHqRieSL/LmPKyihIiIdPV7oBK4AFgE\nXOU3zifGA6W+Q4hIStbxHaAA5Oq5WC0lRPLD5CCM8qKrlYoSIiLSlQP+BQx3zl0NNHvO00FvhEXy\nh7pvDJzOxSIyEOXAMN8hUqGihIiIdPUw8BrwOzM7DXjOc54OGuRSJH+M8B2gAOTquVjd6ETyx3Df\nAVJR5juAiIjkFufcmcCZAGY2xDnX6DlSh5G+A4hIylSUGKAcPhfnxTevIgLE5+J3fYfoi1pKiIjI\nWjoPrgaEOTS42lDfAUQkZSpKDFAOn4urfQcQkZTlxblYRQkREekqVwdXU1FCJH/kxRvhHJer52IV\nJUTyR15031BRQkREusrVwdWG+A4gIilTUWLgcvVcrAKxSP7Ii3OxihIiItJVrg6upjfCIvkjL94I\n57hcPRerpYRI/siLc7EGuhQRkbXk8OBqKkqI5A89Xwcoh8/FKkqI5I+8OBf3qyhhZrOccw9lOoyI\niPhnZsOBY4CxwONm9rZz7gXPsUDdN0TySanvAPkuh8/FefEhR0SAPDkXp9R9w8zu6TLrvCxkERGR\n3HArYMAewFvAlX7jfKLKdwARSZm6CA9crp6L8+JDjogAefJ87bWlhJltBUwH1jWzo5PZ1UBTtoOJ\niIg3w5xzvzGzA5xz/zazNb4DiUjeyYs3wjkuV8/Fbb4DiEjK8qJA3Ff3Devm51LgkKwlEhER3+4z\ns/uBDc3st8CDvgMlWn0HkIz7CDgBeNV3EMm4Vb4DFIBcPRe3+w4gGfc34LvkzhVeJHNW+A6Qil6L\nEs65fwH/MrNNnXM3DlImERHxyDk318ymAZsC/3HO5cqI7ypKFJZ3gb3r62r/5TuISC7K4XOxWkoU\njjXAmfV1tRf5DiLFLdWBLn9tZocBFR0zVKQQESlMZjYHOJT4nL+XmTnn3PGeY4GKEoXk38Be9XW1\nb/sOIpKrcvhcrKJEYXgTOKS+rvZx30FEUi1K3AX8GdCbBxGRwncJ8A1y75yfK/2pZWDmAQfU19Xm\nRZNSEY9y9VysokT++xtwXH1d7XLfQUQg9aLEKufcL7KaREREcsVbwNPOuQbfQbpQS4n893vg2Pq6\n2hbfQUTyQK6ei1WUyF/qriE5KdWixINm9nvgRmA1gHNuQdZSiYiIT+8Az5rZX/j0nH+230iAihL5\n7nwgrK+rdb6DFBozW885l2vfpsvA5eq5WK3W8lM9cKi6a0guSrUosQb4D7Ad8RU4HNBjUcLMJgJ/\ndM7tZGbrAo/x6cjaBzvnFpvZtcDmQNTRCqO7eSIiMuhuSqZco1HB81M7cGp9Xe1lvS20z/lb1xx7\n37C91lkxprpx6PiWhiHj2xurxtFUNaa0pWJk+ZryoUPaSyqGYJYXlzdLx5KP3qu88q6fzPrxIdfe\n19Myr7//7xF/efSKrb67/28eArg0OnMHgFNqf/nYfjt8ff1Lv3n/m4OVN01PnHLFLhf4DpGncvVc\n/JHvAJK2lLtrXPS1mWdv9/q6o1aO2KBl1fCprB46uaq5cuRwV1JWOQg589p7y98cMnn0+o2+c/Tg\nB6dcsctbvkP0JNWiRD1xIaKjINEjMxsN3ABUJ7N2AM51zl3eaZkDgVLn3I5mdp2ZbQJs2XWec25h\nersjIiID5Zyb7ztDDzQGQf5pBA6vr6v9W18Lvjmxre3nR6z8wc7PL3/iuHsWVq3TzJZdl2m3ktbW\nsuoVLRXDP2quHLW6uXJUQ1PlqJbmylFtLRUjaakYXrqmrLq8tWzIkPaS8ur2krIRYKMxK8/K3mVA\nQ/MqbnnwYkpLyyAe1PAzFq98l38+8ztKS8o/WWbUsPHgHG988GKwVfAlgJmDlTlNlYCKEv2gc7Fk\nwBrgB/V1tb9O9QbX7bb6yJUP/efdQx58cZrB8I75LeXDljYMGb+4Yeikj1ZXT25qGDqxvbFqbHlL\nxYjhbaVVY5yVTMIs1c+WOemjhmVce8/POX2/i3td7oo7f8w+2x3HlHEb87fHruHtJQs5Ze863lr8\nMpNHrz9IadOW01/4p3PgGDAE2BNYQtyVozttxC+YHW9AZgJfNrOvA3c5534E1AC3Jv+/G5gFTO9m\n3lpFCTM7CTgJYOrUqWlEFxGR3lj8oW2Cc+4d31l6scx3AEnLEuAr9XW1j6a4/FNA24ItS7ZbsGUJ\n2y5sf/Ybd7a3jVrNth0LlLj2soo1q8ZVrFk1btjqd1MO0lpauaqlYvjKlopRq5orR65uqhzd3Fw5\nqrW5YqRrqRhha8qHlbeWDalsK60c2l5SPtxZyUjMhve95oEzK+H4XX/Clf/8WY/LVFUM4cTd53Jp\nFH460znanWPxynfY/nO7DULSfmvvz406t7rNcJ6clifnYg2OmB/q6V93jff+NKtk1kOb26Lzbmh7\nY1gTWwFUrPl4bMWaj8eO+uiNbm/ksPbmypHvNwyZsLShetJHq4dObmkYOpGmqjGVLeXDhreVVo4D\nG5+rrd0amldx0wPn09za1OtyTyy8l3Ej1mHKuI0B+LhpBeuN24RFSxYyetiEwYjaX/06Fw+WlIoS\nzrkbOv15hZn12ATTOfcRgJl1zLoTOAdoAO41s62IW1F0nGyXAdv0MK/ruq8CrgKYMWOG+qSKiGTO\nTGAv4Edm9gCftoozwDnndvGW7FMqSuSP14A96+tqX+1zycTzxzzfsOUNW75I3HKSpzYp2fqkTUrY\n/E334slR26rxK9ne4uMxbWVtzcPLGpuHD21ckvJt2q20ZU35sBXNFSM+aq4c9XFz5aim5spRa+JW\nGSOspXx46Zry6oq20qqqttLyYc5KO1pllKaTbUhFdZ/LDB8y+jPzqqtGsKpxBasal3PR377DibvP\n7Xa5HJD2oKbdtLotJvlwLlZLidz3V+LuGqk/VnNHGnNXOuBdgA/G2JQTTitd51tR+/zZz7sdLb40\nbY8MV1LVvGJSVfOKSWNWvNLtMu1Wsqapasy7DUMmLl1dPfnjhqGT1jQMnVDSVDm6ak159cj2korx\nmI1JfTczJ5UC8eqmj/jzI1ew0+b78so7z/C5dafHBeL2Nl5973lqtjxwEBOnLacHqE2pKGFmO3f6\ncwLxuA+petg515ys5xlgE+Bj4lYXAMOAkh7miYjIIHDOPQg8mPw+x3OcnqgokR8eB/apr6tdnNLS\nc0fOAj7H3JXXAU/A2t02XlzfNv/2yWVs+J5b+O1/tC1edyk7GKT1wb8/SlxbRWXLygmVLSsn8HFq\nY0g6cK1lQ1a2lI9Y0Vw58uPmylENzXH3ko5WGSWftsqoqG4vKRsOJaMwG5puvv1nfoMnFt7H8o8/\nZNoGO/Hqe88xfcPZae/nIOjPWDBdW90WjTw5F6sokbvS7q4BwNyRBwEzgBB4r2O2Myu5bJ/S2fdM\ndy+f9bu2soo2NhpIuBLXXj60ccmUoY1Lpoxb9u9ul2krqWhorBr7QcPQictXV09uWD10UmvjkPGl\nzZWjhrSWDR3dXlI2IRst2VIpED/w/J+YvuFsZm2+D3977Bqa1jQyecwGvPHBi4weNp5f//00Dt/5\nDCblZheO3puAeJZq9405fFqpbQFOSWMb/zSzw4GVwO7AlcSV71nAo8A04GVgUTfzREREOqgokfv+\nTjyGRGqXMIzfCN9M/OHzOuKCxvHdLfr6ZNvkjJPKNllnqXvz2/9oe2uj99ihr2/uBpuBlbc2jixv\nbRxZ3fhByrdrKylrunrlmyXbPvXf9c2VI1fHrTJGr2muHNneUjHSWsqHlbaWDa1sbW3c3NpbFzsr\nHfK5xToAACAASURBVNne3jbKzMwMykrLcS5nG5CmPehbN61uJbeo+0Zuqifd7hpzR3aM+XIK8I9k\n7mf6xi1c1zY97ozSph/e0r7gC2+5nfrbai0Vpe0tQ4c1vLfBsIb3NmDJs90us6Z0yMrGIeM+bKie\ntHL10MmNq4dOam8cMq60pWJEdWvZkDHOSidiVpXpbG8vWcgBM7/JiKFj2Gaj2fxn0VN89Ysn83z9\nw6xqXM60DXbihbcey9WiRL8G4BysrnSpFiX+H/GbhM2AF0ivYPBz4AHiYsYVzrmXzew94suMrkPc\nRG0mcdGj6zwRERlkFn8DcSIQEF856Trn3GqvoWIqSuS2y4mvspFaE9G5I08nfjNsxFf3grilRK/e\nHWvr/+jYsvXHrnTvnRK1v/KFN912Bmm3NMglpe2t/5+9+46Tqyz7P/65Z7ZvkklIDyQQEDBA6In0\nBCkio8iDICro0BERaQ8KqD8Pojg2HntBkaIixQaCCIJpQGjBwAETWpiElkJIJtme3bl/f5xZkmw2\n2dndOXNP+b5fr33t7uyZOd+0ycx17uu662psJ7H1qd2eX9XKi23tfHz48C2OG930OkfOvbgR4MmW\nlsxnGoevfakr2nrtshdHfmvvDy0a81pTU3vt8K5gVcbQaGd1Y3VntL5u46oMMwJjCj1Bv1gn0Re9\nIn4u1kqJ4jOQdo2dCeb5dc/tGZ/93OvAng1Vpu4bp0WPOGhR5pmL786Mj9r3ji+46q7WWHXT67Fh\n21jF1lE99J2W+tGrWhrHrWtqHN/e0jAu01a3XU1H9bAhXdHakdZExvZ3MOfoYduzev3bjBsxiWWr\nXmK7oWMBaO1opra6gc5MJ+0bivYpL7eLBZsoZCtdrn8QvyUYOnk/QbHgJuAz27qDtXZm9vMs4P09\nfrbOGDMTOAb4rrU2DdDbbSIiUnB3Ag8D97FxCHHcaSIglYyv3+nK+zYARbuTQoWywNWpZDyZ09Fe\nLEJQjLhkk1sn48VGMXmST7DEtM8rXKtjZvw3Ph0dH2u275x3f+bJA1+2+xmIDSB/UbhlUnBlba+6\nevaqq9/mMQDTGxoi2I4R4yOMmLHTJFi3aF/WLerzPF2RmuaOmmHdszJa2muHB0M/a4dnglkZQ6qC\n9pK6hkykaog10RjGDOb3tWkQ9610RflcDKx0HUDeM5h2jd+w+XPmhOznbU4RfnxKZP/ndzJrv3lr\n12MT3uWQfp23gLqHIg9ft6TXn1tMV3vt8Ldb6sesbm4ct765cXxHS/1YOjvW7xftbHvjlXdeHff2\nmtSIQ6bE31sVcvS+p3LbnB/wwDN/oLqqlnOPvYYVa19n+5E7U1vdwC/uv5rPzPxSwX6N/WCBgRQ0\nC9ZKl2tRYqK1trsI8YAxZtBbFFlr17Bxt42t3iYiIgVXa639fvbrB40xH3KaZnMrgB1ch5D3dABn\npZLxP+R0tBerA34HnNzLT6f5Cf/+qbdMXUg/VkumG82o750cndnQZtNnPZiZfdgLdmoERuZ6/0oT\nzXQ01re901jf9s72ud4nYyKdG6qHrO2oGZZur4l1D/3syK7KYEOwFWtNZ1VdXSZSMyQTeW/oZxWw\nLsRfTrkr1ufiYt4ZpJKkGFy7Rk9j8WIRJk96u5efbaap3gy/5PyqQ054PPPYabMye5ZiQdhgo3Xt\na8bXta8Zv93ajU0A/xhVA49cvscMgoHHbeueWtHSMPbd5obxzc2N4zuuPPTcSHvtiLoN1Q2xTKRm\nTN3wie9NGP7aqTe5+KXkounCX36w3z1+hWyly7Uo8ZYx5irgCeBg9GQkIlLWjDG/JNiicTqwwRjz\nWWvt1raCLqSlqChRLNLASalk/N85He3FtiOYOXHoVo6YRrAi8ykG0MLZUmdiPz0hOvOGD9uW0/+d\nmXPMf+xuLpcXl5OIzVTVdqwbVduxbtRQ3sj5fp3RunUbqhtWwcA2jOhedVvJivS5OLfJrxKmgbRr\n7EJw8XeLHQ6zogQbGuS83/I9B0UOmf9+89a3b+5aMqyV/XLOUiIitqumoXXVxIbWVRNHrX6+12O6\nIjXNrfWjVjY3jFvT3DiuuaVhXFdr/ehoe02sobO6YXjGVI3FmCEFjt5T0ReHcy1KfA64mODKxiLg\n/NASiYiIa5tuA/1I9nOxTJxLsfU3tVI4bwAfTiXjvb9K68mL7QT8E9h9G0flPFdiWzqqTcNvPxSd\ncevRtuPkRzLzTnjcTqrKUJRTx8pdVVfbsKqutqJ/MVzEivK5OJWMN+105X3rgGGus1SgwbRr3Ejf\nf2YT/IT/zNRbpraycVfEbVo13Ew45+Lo+HMeyMw55j/2IAOFnlvjVDTT0Tik+a3JQ5rfmsxW9pza\nUFWfbq0fs7K5Ydza5sbxrS0NYzOtdaOqg8GcdSOsiY4Led5P0Y9FyLUo8Xvgz9baa40xVxPMmDgl\nvFgiIuLQ74ATgR0Jhqvda4tntH/KdQDBJyhI5LZq0osdQNATP7aPI/NSlOjWGTU1t8+IHn7n4bYr\n/qR99NR5mbE1nbwvH48t/bLadYASVszPxcuAvVyHqDApBtaucT3w+RzvMQF4hmBb0J1zPo8x5jfH\nRWf8ex/78jW/77K1neyW830rQHVna6x6/dLYsPVLe/25BdtRM+ydlvoxK1saxq1rbhzf3tIwhta6\nkdUbqocO7ayqHQmRsRgz0O2wc9ui26FcixIjrLW3AFhrrzPGzAoxk4iIuHU7wewGHzge+BTwaaeJ\nNkq5DlDhHiZo2cjt6rcX+zBwF7lN7h6LF5vE5EkvElzVyUuPciZion8/yBz69w8Ye9RC++Rn/50Z\nUt/BHvl4bMmJihIDV8zPxa+hokQhhdGu0ZtNd+DIvSiRtWS82fXMy6IdX7orM3uf1+wRBiL9fYxK\nZMB0t8iNSL/S6zEW09VWN+Ktlvqxq5sbx61vaRi/oaVhDG21I2o3VA8Z1hWtGQ1m1FYGQAxqOG0h\nWulyLUq8YYz5MsH+4dPQ1F0RkXI2xlr7ie5viqwQnXIdoIL9nmCo5YacjvZi5xBsE9qfLdem+Ql/\n2dRbpi5goIMItsYY8/B+ZvrD+0U4eFFmwTkPZKJDW9k3r+eQ3qgoMXB6Lpaw2zV6ymkHjm3pjJqa\n6z4ZnXnAy5mF//vnzOioJeehurJ1Bhutb3t3Qn3buxNGrul9p6WMqWpvrRu5vKVh7JrmxnHNzQ3j\nNrTWj4lYE+l7aybHcn2hcAZwHsFMicVAIqxAIiLiXIsx5ko2DldLG2OOsNbOdZwL9ELYlW+nkvGr\ncz7ai30D+NoAzjMd+DNBC0d+ixKbmD8lcsD8KRH2eTXz3Of+kWkf2fRe64jkl0VFicEo5ufi3vdZ\nlHxKEX67Rk+DLkp0W7BrZN+zLzHpb/y+69FJqzQLqhAitrO2sXXFjo2tK3Ycvfq5TX/0IJzpKlZO\ncipKWGvbgZ+EnEVERIrDEwSDqrr3H/8PMBMohhfCy4AMWhJaKF3Ahalk/Fc5He3FqoFfM/CLF93F\ngdxfhA/Cs7tE9r7gogi7vWEXX3hv19pxa5heSsuNmzNdZCwMjQ60zTh0b01ZvCi3lTXSm2J+Ll7s\nOkCZK1S7Rk/dRYk+twXNRUudif3vOVWHHvd0Zv6Z/8q838CIvu8lIRh0kSls/VlSKSIiFcBae40x\nZjQbJ29vb62d7zJTt1Qy3rHTlfelGECvq/RbC8FVuntzOtqLDQX+BBw7iHMegBczTJ6Ul2GXuXpp\nB/P+iz9XxaSVdslFf+96a9JKDjIhv0bqtJZjl7zKxOpqAL4ydiy71db1emxbJsMJqdd4cOddeHj9\nen74zipu2GEiC1tbOWro0DBjDtarrgOUsmJ+LgZy23lH+quDoF3jR/26lxc7BfgNg98RZdOZEnnz\nzwMjBz+1m1l+3c1dC0Y0c0A+H1tykttgaodUlBARkc0YY24EJhNc0WghWIJ9mNNQm3seFSXCthL4\nSCoZz6044MUmEOywMdgZDcOA3f2Ev3jqLVNX0PeOHXm1bIzZ+Yqzq3Yeu8a+8YW/dy3Z7U2mG+i9\nUjBIL7W3Ex82jMtHj+nz2F+uXs2qzk4AHm1p5vLRY1jY2soGa6npdaZZ0eh9YpvkpJifi1PJ+Bs7\nXXnfWmC46yxl5DWCQnDuRdnBt2v0lLf2jZ5WDzPjzr8oOjbxUGbu8U/baSbHLUclL95wHaAvJbNE\nUURECuZ9wHEEbyhmELRLFBNdoQvXy8DB/ShI7AHMZ/AFiW7Ts58LulpiUytGmB2+9tmqIz73hei6\nhZPNHAtN+T7Hs62tzG5q4tSlKb66/G06t7LT45L2dl5qb2PvuqA2EgHabIYFrS1Ma2jId6x8U1Fi\ncIr9ufgF1wHKyF+B/ftZkNgFeIz8FSQAxuDFouSpfWMLxphbjoke8aWzom+1VVP0wxfLhKUEZsCo\nKCEiIj21AEcBUeAUiu9KmO86QBmbDxySSsZzewHjxWYAjwKT8pihoHMltmXNUDPmuk9GZ5x9cXTD\n/Peb2RZy7+/uw151dfx24iTu2HEnOq1lbnPvdY/vrVrJ1WM2Lhg5bugwfr9mDROra/juqpXcuy6d\nr0hhUPvG4BT7c7EKxIPXAVySSsZP6uf8iFOAZxjc/IjeRIExhDyDYOlYs8uZl0bf99SuZrYNZhdJ\neF6fsnhRm+sQfVFRQkREejoHOBC4G/gOweCsYvKs6wBl6m/AUalk/J2cjvZinwQeJP9vlLqLEs5W\nSvTU1GBG/N//RGeecVk0+u+9zZyMYdVgH3P32lpGVwVdtHvW1bG0o2OLY+5OpzmwoYEdamreu+3A\nhga+N34C46qrmFhdzeMtLYONEiatlBicYn8uVlFicF4DDuvX/AgvVosX+xnB34XBzo/Ymgl+wk8T\nFMVC0xU11d87OTrzW6dG/tsZYVmY56pwL7kOkAsVJUREpKe/b/L114DXXQXZihcJ+cVSBfop8PFU\nMt6a09Fe7ArgNqCmr0MHYN/sLh5FU5To1lprhv4yHp3xmf+NDr13mpnbZQY+POzLy99mcVsbXdby\n76Ymdu9lyOUjzc3MamoisWwpi9vbueCN4J/iUy0t7F/fQBRDUU+UUFFisIr9uVhFiYErlnaN3uR1\nB46+PLdzZOrZl0RHLBnLI4U4XwV62XWAXGjQpYiI9LTeWnut6xBbk0rGMztdeZ8PfMB1ljJgCSa9\nfz+no71YBPgR8IUQM9UCe/sJf8HUW6YuoQiHmm6oMnW3Hh094g9H2g0nzrePnPRYZvvqLib35zE+\nP3IUV7z1FhY4csgQ9qmv43srV3LFmI2DL783YcJ7XyeWLeUXO0wkYy31kQijolEWtrXywSFD8vbr\nyrNVUxYvWuc6RIkr6udiYCHBc0iR18aKiuvdNXKx6Q4cuxTgfLTWmqFXnlV12FH/yTxx7j8zu0Rg\nVCHO25e1XV38t62NKbW1jKja/G3zO52dxKJRqot72DCUyEoJFSVERAQAY8wR2S/nGWP+CNwKNANY\na+c6C9a7Z1BRYrDagUQqGb8jp6O9WD3B6ogTwwyVNQ1YQLBaouiKEt26oqb6z4eZw/5yqMkc97Sd\n/6k5me3qNrB7LvfdtbaWv03evI6xaUGip1sm7QhAxBiOyW4DetPEfI7yyDvNkxigUnkuTiXja3e6\n8r5FwB6us5SIYthdIxeh7cDRl4f3i3xgwa5m1bdv7npq5Pr3Wvny7vY1a7h/fVAzXZfJsHddPdeM\nG7fZMemuLj7/xhscMaSR76xcyU0TJ3L/+vXcvS7NzRMn8WhzMx+LxcKKmE9aKSEiIiXlyOznDcBi\nNu6CYIGieSGc9ShwgesQJWwtcGIqGZ+T09FebBRwD3BwmKE2MQ34JUFR4tQCnXPArDGR+6eZg++f\nFmGGn3nqjH9l6hrbmeo6l2Nq3Ri4UnoufgwVJXLxV+Csfg6z3AW4C9gvrFBb4awoAbB2iBl9wReq\nRn96Vtfcjz1uDzDQmO9zfHLECD45YgQA31yxnBN7KS681N7Ol8eMYZ/6etZ1ZfhvexuL29v4eCzG\n822t1EeKfoVEN62UEBGR0mGtvcZ1hn6Y5zpACVsGfDiVjP83p6O92M7AP4FdwwzVg/NtQQdqztTI\ntDlTIxz4UmbhefdnMsNb8j4dv1SUxNW5YlRiz8WPEQzklN6VQrtGTwWdKbE1tx0ZPWLuXjb1zVu7\nUg0d7BnGOVZs2MDqri72qqvf4mfdWy4/3dKC39bK50eO5J/r19Np4dHmFj43cmQYkfKtmRJZtaZB\nlyIiUnJSyfgy0LTuAVgIHNSPgsQ0gm1CC1mQAJiCF2skaOEoye3int4tsu95F1ftf82nIy+sGsaT\nNrjKXUkWug4gBfGo6wBF7DXg0CLcXaMvm86UcOqN0Wansy6N7v7Y+80cC535fvzb1q7lk8O3voGU\ntZb7169jWDRKlTEc2tDInKYmxlVVceGbb/BES3O+I+Xbf6YsXpRxHSIXKkqIiEip0mqJ/nkQOCKV\njOd29cuLfRSYTbBnfaFFgf39hN8MLHJw/rx5YcfInhdeWDX96jOir7w5ksdsiRZZBqDkVrlI/6WS\n8ZeA3LYRrix/AfZLJeNP53yPoF1jPoWdH9Ebp+0bPWUipuqH/xOd8Y1PR17cECGVt8e1lidbmple\n37DVY4wxfG3sOHavrWVWUxMfHjaMC0eNYmg0wozGIfxr/fp8xQnLAtcBcqWihIiIlCoVJXJ3MxBP\nJeO5vYLyYucT9EBv/dVa+LqHnJXFm9tXx5tdLz2v6pDLzo2+8eo45tlgWXe5enPK4kVOl35LQc13\nHaCIdACXpJLxj6eS8XTO9/JinyAY4Fzo+RG9GYMXi+K4faOnF3aM7HnmZdExL03Iz1yVBa2t7F1f\nj9nK7hm/Wb2au9PBH+G6ri6GRoO3zUs7OphYXUONMZTAEgQVJUREREKmokRurk0l42emkvG+l756\nMYMXu45gyGQ09GTb1j1X4kmnKfLszVFmx6vOrDr8ws9HV78wibkWWlxnCkHuV4elHDziOkCRGGi7\nxs+BO3DXrtFTBBhLkayU2FRHtWn4aqLqiJ9+JPJUxrBqMI/1SHMzB2ZXSby5YQO/Xr16s5+fMnw4\n96xL85llS8kAhzY00tTVxaiqKt5XW8Od6bUc3JD3GZz5VjLPxRp0KSIipWoRsBooiWlTDnQCF6SS\n8d/kdLQXqwZ+C5weZqh+KKuVEj29EzPjrzmtanys2b5z/j8yTx7wit3fFM+bksEqyz8z2aoHge+4\nDuHYXwh21+jP6oj3EcyOKIbVET1N8BP+01NvmdpMCLtfDNbcqZFpC3c2q6+7peuJMemBbQ9+6ejR\n7329fXU15/YYXBmLRrmxx7bLQ6JRDmkMfjv+utPmWzoXoSbgRdchcqWVEiIiUpJSybgFHnado0g1\nAyf0oyAxDLif4ilIAOyMFxsJPAe0uw4TlnSjGfXdU6Izz7w0auftaWZngkJbqXuiPwcbY2LGmPuN\nMQ8aY/5qjKkJK5jkXyoZX0iRLfUvoA7g4gG2ayygOAsSUCQ7cGzLukYz8gufr/rAXYeZRywU/XAH\nBxaWypBLUFFCRERK232uAxShFcCMVDJ+f05He7EdCJZfHxVmqAGa5if8DVTATg4tdSb2kxOiMxOX\nR+se2N/M6TLF+2agD53A4/28z2nA9dbaY4HlwHF5TyVh+6frAA50t2v8OOd7FGe7Rm+Katjlttx1\nePSwi8+Prm2q5TnXWYpMf5+HnVJRQkREStn9UAqzpgpmMcGWn7kNt/JiexEMqZsaZqhBKOsWjt60\n15jGGz8UnfGZK6Ij/3qwmdcZKbmtb5+dsnhRU3/uYK39ubX2X9lvRwMr8x9LQpZbEbR8DGR3jfcR\nPN9eEFaoPCqabUFzsXw7M/HsS6N7zdnLzLawwXWeIjHLdYD+UFFCRERKVioZX0WZDUIchEcJrtql\ncjrai32QYIXEDiFmGqyKK0p064yamj/OjB5++hXR7f8wM/JYR5RXXWfK0YCHHhpjDgZGWGtL6gqf\nAPAvKmO723Jt1+ipZFZKdLPGRH720ejM/3d69JUSer4MSyfkZ5eSQlFRQkRESt29rgMUgT8BR6eS\n8XdzOtqLnUZwZTMWZqg8qNiiRLdMxETvPjhyyOlXRHe+4UORx1tr+K/rTH0YUFHCGLMd8BPgrPzG\nkUJIJeNrKf+tQcu5XaOnop8psTUvTjRTzro0OuG/E5lrwbrO48jT/V2x5pqKEiIiUuoqvSjxQ+DU\nVDLeltPRXuwq4HdAKQwTHIcXm0jQlrLOdRinjDEP7R85KHF51R4//Fhkwfo6nnUdqReWARQlsoMt\n7wKustYuzXsqKZRybuEo93aNnkqqfaOnjmpT751edcSPPhZ5psuw3HUeB/7tOkB/qSghIiIlLZWM\nPwu87jqHAxa4LJWMX5pKxvueq+HFotkrdtcBJuxweTTNT/iWYOmzAI/tETng7Eur9rnuE5Hn3h1S\nVPvQPzNl8aKBvAE4G9gf+IoxZrYx5tQ855LC+IvrACGolHaNnkqufaM3j+0ROeDcL0Zr3xpR9qt4\nelJRQkRExIG/uw5QYG3AJ1LJ+P/ldLQXayB4w1CKV+wqvoVjaxbuEtn7cxdVHfi106OLlg/ncet+\n6Os9A7mTtfYX1toR1tqZ2Y878h1MwpdKxhdDUa7gGahKatfoaTRerIoSbN/oqanBjLjkc1UH/2Fm\n5FELuReWSlc78JjrEP2looSIiJSD21wHKKB3gWNSyfifcjrai40mmMJ9QpihQjQ9+1kDTbfixYlm\nyhcvqDroS2dFX1s6mkdsMOTMhQEVJaSs3O46QJ5UWrtGTxFgLCW+UmJTdx8cOfSiC6JN6+rLfovp\nx6YsXtTqOkR/qSghIiIlL5WMP0pwVavcpQiu3OXWt7/xRfL0vg4tYgfgxQxaKdGnpWPNLlecU3XY\nxedH335pAvNscMWsUJZNWbyo3F/sS99KvSjRAXyxAts1ejPBT/jrgZIamLgtK4eb7c+9OLr3Q/uY\nOTb4sy5HJTlnS0UJEREpF+W+WuIZ4ODsEum+ebGDCAoSu4QZqgBiwG5+wl8GrHQdphQs385M/Gqi\n6vALLoyufXYnM8dCcwFOW2ktVNKL7JbET7jOMUBLCIq+P8n5HkG7xi8o/XaN3pTFXImerDGRG46P\nzrg6EU21V/Gy6zwhKMkVaypKiIhIufi96wAhuh+YkUrGcxsi6MU+RjDoalSYoQpIcyUG4N1hZuy3\nPhWdcc7F0fbHdzezLawN8XQl+UJYQlGKqyX+DOw/wHaNz4UVyrGS3RY0F69OMLudeWl0UrZwWy5b\nhy6esnjRK65DDISKEiIiUhayKwiecZ0jBDcCJ6SS8dyW0HqxCwn6oevDDFVgmisxCOsbzHbXnxSd\necZl0eisvc2cjGFVnk+xDpid58eU0nUH7oeu5qq7XePkAbRrPEN5tWv0VNLbguais8rUfutT0Rnf\nPymysMvwpus8efBX1wEGSkUJEREpJ+W2WsJLJePnpJLxvgcXejGDF/su8FPK7/93rZTIg9ZaM/QX\n8eiMz14eHXLfNDMnjy/CH5iyeFG59mdLP6WS8beBB13nyMFg2zWGhhWsSJRl+0Zvnto9st/Zl0SH\nvD6q9Hat6KFf2/IaY2LGmPuNMQ8aY/5qjKkJK1hfyu1Fi4iIVLY/4m7ngXzqBM5KJePX5HS0F6sB\n/gBcEWYoh/bFi1WjokRedFSb+luOjs44/YromDsPizyyITroIbGaJyE9/dJ1gD6oXaNvZd2+0VNL\nnYldfm7VITcdHZkfcqtbWJZOWbwo97/PgdOA6621xwLLgePyHys3KkqIiEjZyM5cKPXe9vVAPJWM\n35TT0V5sOPAA8KkwQzlWB0z1E/47VMYuKwXRFTXVfzo8ctjpV0R3vPmoyGPtVbw0kIcB7st3Nil5\n9wJvuA7RC7Vr5K7s2zd6c/+0yMGf/3y0dW1DybWD/rm/d7DW/txa+6/st6NxOExaRQkRESk3P3Ud\nYBDeJhhomdvSZy82EXgEmBlipmKhFo6QWGMi/5geOeQzV1Tt9vN45MnmWp7vx93/PWXxondDCycl\nKZWMdwG/cZ2jB7Vr9E/FtG/0tDpmxp/3xeh+9x9g5lhoc50nR78b6B2NMQcDI6y1j+cxT7+oKCEi\nImUllYzPAl5wnWMA/kuw5ed/cjrai+0DPA7sGWaoIqKiRAHM3jsy/czLqvb6/kmRhencrhTmtqJH\nKtFvCFbSFIOBtms8TuW0a/Q0Gi9WRYW0b2zBGHPTsdEZXz4z+mZbNbltxe3Os1MWL1o4kDsaY7YD\nfgKcld9I/aOihIiIlKOfuQ7QT3OBw1LJ+NKcjvZixwDz2HglqxKoKFFAT+4e2ffci6v2/8anIi+s\nGsaTW9kyby0lPO1dwpVKxt8kaONwabDtGvuGFawEGGAcFbhSYlOpcWaXMy+N7rLgfWaOLd5dZW4e\nyJ2ygy3vAq6y1ub2+iMkKkqIiEg5+h3BNoWl4A7g2FQyviano73YZwl6+CttKfGeeLEGYAHF+8Kw\n7Dy/U2TPCy+smn71GdFX3tyOx3q8KL9jyuJFpbK0Wdz4hcNzLwEOUbvGoEzwE34TwayjitUVNdXf\nOSU649ufiDzfGeF113l62EAw6Hogzgb2B75ijJltjDk1f7H6R0UJEREpO6lkvAm4xXWOHPwA+FQq\nGW/P6Wgv9lWCX1d1mKGKVBTYP/sCeZHrMJXm1fFm10vPrzrk8nOiy5aMY54NXgirdUP68iBu2um6\n2zUW5HwPtWv0pmLnSvRm4S6Rvc++JDr8tbE84jrLJu6fsnjRqoHc0Vr7C2vtCGvtzOzHHfkOlysV\nJUREpFz9lN6XnBeDDHBxKhn/31Qy3ndGLxbFi90AXBt6suKmFg7H3hhtdrryzKrDL/pcdP6UxYue\ncJ1Hilv2+e07BTxlB3DRANo1TkXtGr2pqG1Bc9Faa4Z++ayqw274UOTxDKx2nYfSuADTJxUl67CF\nCgAAIABJREFURESkLKWS8ZeAv7jO0Ys24JRUMv7jnI72Yo0E25yeG2aoEjE9+/lJpymElSNMv7ef\nk4r1R6AQ/erd7Rq578C0sV3jdtSu0ZuK3BY0Fw/tHznogi9Eu1YPcVokX4X7uS15EUpRwhgz1hgz\nL/t1tTHm78aYR40xZ/XnNhERkUG6luJaLbEaOCqVjOdWLPFiY4E5wPFhhiohWilRHFqBW12HkNKQ\nSsY7ge+HfJqBtGvsito1+qL2jW1YM9SMueCiqmn3fMDMtdDiIMKvpixe1OHgvHmX96KEMWYEwTKS\nxuxNFwELrLWHAicbY4b24zYREZEBSyXjzwJ/d50jq/sq3mM5He3FdgPmAweEGarE7IIX2w54Dsht\nDoeE4Q4/4a91HUJKyo0EV3XzbTDtGgtQu0Zf1L6Rg99/MHrE5edEV7TW8N8CnnYD8PMCni9UYayU\n6AJOZePU85nAndmv5wIH9uO2zRhjzjPGPG2MeXrVqjCe10REpAwVwxyGp4GDsy0lffNihwCPAZPD\nDFWiDvQTfgfwrOsg/dGxuiwuZnX7P9cBpLSkkvFW4Ed5fli1a4RP7Rs5emO0mXzmpdHdHt/dzLbB\n++Gw3Tll8aKyKRblvShhrV1nrd20UtkIvJn9+l1gbD9u6/nYN1hrD7TWHjh69Oh8RxcRkTKUSsaf\nBv7pMMJ9wMxUMr4yp6O92EnAw8DIMEOVsO65EqG1cHSmO1ly3ZLNbmt7o43XvvfaVu/Tmmrlte++\nxpJvLuGd+98BYPldy0l9P4W1lubFzWHFLbQH/YT/nOsQUpJ+Rv62av4TatcoBLVv9EMmYqquPyk6\n89pPRRZ3RkKfo/LDkB+/oAox6LIJqM9+PSR7zlxvExERyQdXqyVuAD6WSsZze0fqxS4G7gLqwgxV\n4kKdK9HV3MUbv36DTHvmvdustbz9x7exnVsfT/L2799m+7O3Z/JXJpNekKZjVQdd67uo27GOtqVt\nVG9XNru4ftd1AClNqWR8LfC9QT5MO0G7xilq1yiIUXixatS+0S/P7xTZ88xLo6NeHs+8kE7x2JTF\ni54O6bGdKMQb/wXAYdmv9wFS/bhNRERk0LJzHP5V4NN+NZWMn59KxvtexunFDF7seoIrHyrKb1u4\nwy4jMPHzE4nUbfxjWDtvLUOmDNnm3bqau6gZWYMxhqrGKrpau7A2WMTb/GIzje9v3Ob9S8R//IT/\nsOsQUtKuZ+BvcJcAh/azXaMOL/ZL1K4xUAYYh1ZK9Ft7jWn8yhlVh/88HnkyY/I+T6WsVklAYV74\n3AJcY4z5EbAH8EQ/bhMREcmXLwGZPo8avA3AZ1PJ+LdyOtqL1RK8YL40zFBlZDxebAdgMbA+3w8e\nrY8SbYi+931nUydr569l1HGjtnm/hl0bWP3QatbOX0vH6g7qJtZRt0MdHas7MBHDa99+jba32vId\nt9AGe5VbKlwqGW8BrhnAXQfarjEfOH8A55ONJvgJv5n8td5UlNl7R6aff1HUrBqWt/e2S4C/5umx\nikZoRQlr7czs56XAMcCjwNHW2q5cbwsrm4iIVJ5UMr6QoAAepnXA8alk/Hc5He3FRhCs4PhEmKHK\n0DQ/4WcIVlmGasWdKxh78lhMldnmcRPOmEDt+FpWP7ya0cePxhjDqA+NYvghwzE1hmEHDKPp2aaw\n44YpxcaB5CKDcSPwYo7HDrRd45OoXSNfNFdikNKNZtSFF1Z94E+Hmnk2GFkwGN+asnhRZ16CFZGC\nLBG11r5lrb1z0wGYud4mIiKSR18Fwpo4+CZweCoZfyino73YjgSF+MNDylPOwm3h2ETzi80sv3M5\nS769hLZlbaz484pejzMRQ824GgBiB8feu72rpYtoXRRTZYJ2jtJ1vZ/wdcFIBi2VjHcCV+dw6GDa\nNf6I2jXyRduC5smdR0QPv/S86OrmWvwBPsSrwK35zFQs1LcqIiIVI5WMvwV8P4SHfp5gy8/cdiXw\nYvsRLCueEkKWStBdlHgy7BPt9p3d2Pmqndn5qp2pm1TH2I+PpfW1Vt6d8+4Wx678y0rGnTIOY4JV\nFe3L26mfVE/9zvW8+9C7NO5esnMllhEMbRXJi1Qy/heCnTC2Ru0axaPotgXdsHYDTS800dW6ZZ20\n2Ldffmuk2fHsS6J7zNvTzLZBu2d/lOUqCVBRQkREKs93ye+Lq1nAYalk/PWcjvZixwFz2fhCT/rv\nQLyYIcSVEjtftfNWb6ufXM92M7bb4uc7nLvDZoWH2nG11E2so2Z0Dbt+e1cadmkIK27YrvETfrvr\nEFJ2LgN6Lh9Su0bxCa19YyDbL7cvb+f1n79Oy8stvJZ8jUxnpuS2X85ETPQnJ0Rnfv306Csboizp\n+x5AsEoit9bQEqSihIiIVJTsoLWv5unhbgOOy/nFsxc7C/g7wdbXMnDDgV39hL8U8j7VXDb3IuHP\nYpEKlErG57P5361XgUPUrlF0QmnfGOj2y22vt7H9Odsz5sQx1IyuYcOqDSW7/fLiiWbKmZdGxy/a\ngTl2ywJdT9eW6yoJUFFCREQq0y1se+lwLr4DnJ5KxnNbK+rFPIIBb1WDPK8ECjZXosJ9TbMkJERf\nAtaysV3jmZzvqXaNQgmnfWOA2y/HpsWoGVnD+oXrg62Yx9aU9PbLHdWm/uufqZrx4xMiC7oMy7dy\n2CvA7wuZq9BUlBARkYqTSsYzwLn0v58Tgm1FL0wl41emkvG+Jxd6sSq82I3A1wdwLtm66dnPoc+V\nqGDPELxZFAlFKhlfBRyUbdfIfctJtWsUUijtGwPdfhkg05Yh/VSa6lHBqohy2H750T0jB577xWjt\n8uHM7+XHV09ZvKisi8MqSoiISEVKJePPE6x26I9W4KRUMv7znI72YkMI2jXO6ud5pG9aKRG+q/2E\nX9JbhkjxSyXjuW4PqnYNN0bixWoIefeNXLdfBog2Rtnh3B2wnZbW11rLZvvlpgYz4osXVB1824zI\nozbYYhzg0SmLF93lNFgBqCghIiKV7JsEPfO5WAUcmUrG787paC82jmCg5XEDiyZ92BcvVoWKEmH5\nl5/wH3AdQuQ9atdwxRC0cIS6+0au2y+/dctbNL8YDLPMtGTeW21RRtsv87dDIod+8XPRdevrWQhc\n7jpPIagoISIiFSuVjLcTtHH09QrmFYIBbE/k9MBebArBzIr9BhVQtqUe2MtP+KuAlOMs5aYDuMh1\nCJH3qF3DtfF+wm8Bct8RpZ9y3X551PGjWPGnFSy5bgn1O9dTO762nLZffs+KEWaHsy+pen7K4kW5\nve4ocRq2JSIiFS2VjM/b6cr7fg2ct5VDngA+mu197psXOxy4GxiRn4SyDdOBhQSrJXZyG6Ws/J+f\n8HNfUi8SFi9WB/yQCl4d8fb6DC+syvCB7aMMrd28teH1dIaJsYJcY950rkQsnw/c1/bL9ZPrN/tZ\nzegadv7K5vepHVf73te7fnvXfMZzqQn4susQhaKihBTUTy//e2iP/YUffDS0xxaRsvcl4Hhghx63\n3wN8KruNaN+82CkE+4jX9nWo5MU04AaCosQpjrOUi9eBa12HEMm2a9wF7OM6Sj6saMpw8l2tzDuz\nka/PamPO0mBu4fImS2Kfaq46fMv/Nl5a3cU597Rx1OQqvvSvNh4/p5Gvz2rnmeVd/PO0BmalOvns\nPjWFiL/ptqBTCnFC4Vt+wg+1ZaaYqH1DREQqXioZTwMJNm/j+DnBUMtcCxKXAXeggkQhdQ+71A4c\n+XOZn/CbXYeQCrexXaMsChJrWi2Jv7XS3BH8F3PNkXXMPqOR2Wc0steYCJ/dp7rX+z23IsNNH6vn\n6zNr2XlEhNfWZFjVYtl/XJT/LM8wqTCrJCCsbUFlaxYB17sOUUgqSoiIiACpZPzfwA8IChNXpZLx\nC1PJeN9bcHmxCF7sh9n79j02vMy9ns4U8nR74sXqCd68FPTEZepffsLXFqDiTrC7xq8os901ohG4\n4+QGhvVov3jqzS52GBZh+2G9vyU7eY9qdhxuuO+lDaxps7xvuwjWQmcG5i7tZMaO0V7vF4JQtgWV\nXmWAs/2E3+E6SCGpKCEiIrLRVwjmRyRzOjrod74LuDjMUGFZ0ZTh8JuCi+Jfn9XGzJubmXlzM+//\naRPfntfe632eebuLo29t5tDfNvODx4JjrnqojQ/9vhlrLbNSnQXLT9CGur+f8JuAxYU8cRlqQ8Mt\nxaWgXeNxtj7fp2QNqzXE6rasWf/oiQ4umr7t9oumDrjzv53sGItgDOw1JsLSdIaIgSNubmHRqr5r\n53mwafuGhOtnfsKf7zpEoWmmhIiISFYqGe8A7svpYC82kmDmxCFhZgpLb8uJu518Z8tWlxNfdH8b\nt3+8nh2GGQ79bQsnTal2tZy42zTgUYK5EnsU+uRl5GsabinOBO0aN1BGqyP6srbNsrI5wy7bbfs5\nc3id4ZYT6/nMX1t56s0uLj24lve9uIEVzZaT3l/FfS93MmV06Csm1L5RGEuBq1yHcEErJURERPrL\ni00meCNckgUJGPhy4ndbLRNjEYwxjGwwrGu3rpYTd9NcicF7hArrX5Yi4sWGAb+gggoSAHcv3sDx\nu277+vAF97Yyd2mw+mxtm2V4drXF2jbL0BpDbZUh09eG1vmh9o3COL9SZ/qoKCEiItIfXuxAYD6w\nu+sogzHQ5cSHTozy0yc7uM3fQGpthr3HRlwtJ+42Pfv5qUKetIw0A2f4CV8zOcQNL72OCtr6sNsD\nr3ZyxI4bixJPv9XFjc9sPkbgS4fWcvXD7Rx+UzPTJ0TZfVSUl1Z3sc+4KNO3j/KTJzsKVQgeiRer\nQUWJMN3qJ/wHXIdwRe0bIiIiufJixwN3Ao2uo4Qhl+XEv/pIHbNSXfy/We18+dAajDGulhN3ex9e\nbASTJz0LdAAF2R+vjHzZT/ivug4hFe/XwGeAw1wHCdPsMzb+13Hbxxs2+9mBE6IcOGHz583JIyI8\nctbm/93sNnLjMYsuHBJCyq2agGZKhGUZcInrEC5ppYSIiEguvNi5BDMkyrIgAbktJ45GDLuPDF4+\nnDZ149wJB8uJN3VgdlL5swU/c2l7iGDrWxG3vLQlGHBZUTsOlJjxfsJvBda6DlJmuoDT/IS/xnUQ\nl1SUEBER6YsX+ybBELaCD0wopFyWEwN8dVY73zm6FmOC9g9Hy4k31T1XQi0cuVtLsO1c4UtIIr3x\n0osIdkCS4qS5EuG41k/4j7gO4ZraN0RERLbGi1UTLCtOuI4Slv4uJwa45cT6zb53uJy4m+ZK9I8F\nEn7CX+Y6iEgPPwCOA45yHUS2sOm2oNrpKD/mAd90HaIYaKWEiIhIb4KJ8PdRxgWJMqKVEv3zfT/h\n3+M6hMgWgjaOBPCu6yiyBW0Lml9rCNo2CjoZulipKCEiItKTF5sAzAWOcR1FcjIh+2e2CGhyHabI\nzQWudh1CZKu89JsE8yWkuKh9I7/O8RP+665DFAsVJURERLZ0O7CP6xDSL9Oz21oucB2kiK0APukn\n/E7XQUS2yUv/GbjJdQzZzKbtGzI43/ET/l9chygmKkqIiIhs6UuA3riVFrVwbFsX8Ck/4esNhZSK\nLwKvuA4h71H7Rn78A61W24IGXZaYQ39yaKiPf53+SoiIgJd+HC/2FeA7rqNIzrqLEk86TVG8rvYT\n/izXIURy5qWb8GKnAY+i9yzFQO0bg7cY+HR2VZ9sQislREREevc94H7XISRnB2Y/a6XEln7jJ/zv\nug4h0m9e+kngEtcxBIDt8GK1qCgxUGngY37CT7sOUoxUlBAREelNMAX+dLR8uFSMwIvt6if8FPCO\n6zBF5CHgAtchRAbMS/+MYGtmcW8CmikxEBmC9rmXXAcpVipKiIiIbI2Xfhf4KMEVDil+miuxuReA\nkzXYUsrAhcAjrkMI4/2E30awnaXk7jI/4Wvl5TaoKCEiIrItXnoxcCrBoEApbporsdFyIK6lwlIW\nvPQG4OOAtlB0S3Ml+i/pJ/wfuQ5R7FSUEBER6YuXfgC4zHUM6dP07OdKXynRApzgJ/ylroOI5I2X\nXgmcCLS6jlLBtC1o//zWT/hXuQ5RClSUEBERyYWX/jHwK9cxZJv2w4tVUdlFiXbgJD/hV/LvgZQr\nL/0McJbrGBVM24Lm7h7gPNchSoWKEiIiIrn7AqBtFYtXPbCnn/BXApW4SmADcIqf8B9wHUQkNF76\nduAbrmNUKLVv5OYR4JN+wlfbZ45UlBAREcmVl+4ETgZedh1FtqpSh112EUx3/7vrICKh89JfB37m\nOkYFUvtG354BPuonfLUZ9YOKEiIiIv0R7MhxNLDMdRTpVSXOlcgAn/UT/p9dBxEpoIuAP7gOUWG0\nUmLbngKO8hP+WtdBSo2KEiIiIv3lpZcBH0RXi4pRpe3AYYFz/YR/m+sgIgXlpS1wBqDVQYWjmRJb\n9zhwjAoSA6OihIiIyEB46VeBo4BVrqPIZvbCi9UDCwhWEJSzDEFB4reug4g4EbTUfQKY7ThJpRiB\nF6tDRYmeHgGO1RbMA6eihIiIyEB56UXAscAa11HkPVXAfn7CXw+86DpMiDoIBqnd6DqIiFNeug04\nAXjadZQKMQGtEtzUHOC47P85MkAqSoiIiAyGl14IHAfoBUnxKPdhly3Ax/yEf5frICJFwUuvJ3ge\n9l1HqQDj/YTfDrzrOkgRuBc43k/4za6DlDoVJURERAbLSz8JfITgzaK4V85zJd4BPugn/H+6DiJS\nVLz0amAG8ITrKGVOwy4DvwRO9BO+/t/PAxUlRERE8sFLzyW4UqchV+6V60qJFHCon/D1pkukN156\nDcHuSA+7jlLGKn1bUAtc6Sf8C/yE3+U6TLmoch1ARGQgfnp5uMO2v/CDj4b6+FKmvPQ8vNjhwD+B\n7V3HqWC74sWGM3nSswSzF2pcB8qDx4CP+wl/uesgIkXNSzfhxeLA7cCJruOUoUregaMDOMNP+H90\nHaTcaKWEiIhIPnnp54FDgMWuo1QwAxyY7Xt+znWYPLgROFIFCZEceel24BTgd66jlKFKbd9YQ7DD\nhgoSIVBRQkREJN+89DLgMIJ9y8WNcmjh6AQu8hP+OX7C73AdRqSkBNuFJoCfuo5SZiqxKPEf4AA/\n4c9xHaRcqSghIiIShmDo2lHAP1xHqVDTs59LtSixmuCqnN5QiQyUl7Z46YuAq4GM6zhlotJmStwM\nHOIn/NdcBylnKkqIiIiExUu3AB8jeFEjhVXKKyUWAtP8hD9rMA9ijNnOGHOMMWZUnnKJlCYv/W2C\n5+J1rqOUgUqZKdEOnO8n/DP9hN/mOky5C70oYYypMsYsM8bMzn5MNcZcY4x5yhjzs02O2+I2ERGR\nkuelO/HSZwKXEizHl8LYHi82Hvgv0OQ6TI4scD3wgcFelTPGjADuJVgxMssYMzoP+URKl5e+FzgI\neNl1lBI3HC9WT3kXJV4HDvcT/g2ug1SKQqyU2Bv4o7V2prV2JsEE7MMI/pNcaYw52hhzQM/bCpBL\nRESkcLz0D4EjAQ0rLJxpfsLPAM+4DpKD5cBxfsK/PE/zI/YGLrPWfgt4ANg/D48pUtq89CKC9xsP\nuI5S4iZQvu0bfwL29RN+Ka6yK1mFKEocBHzEGPOkMeZGgv7aP1trLcETwuHAjF5u24Ix5jxjzNPG\nmKdXrVpVgOgiIiJ55KUfIXhz+IjrKBWiVOZK3Avs7Sf8B/P1gNbaOdbax40xRxD8PszP12OLlDQv\nvRaIA993HaWEjc8WT1e7DpJH6wm2+zzFT/jvug5TaQpRlHgKONpaOx2oBuqBN7M/excYCzT2ctsW\nrLU3WGsPtNYeOHq0ViGKiEgJ8tJvAx8Efuw6SgXonivxpNMUW9dKsLvGR/2En/erLcYYA5xKsJXd\nhnw/vkjJ8tJdeOkrgNMI3oxK/5TbDhyzgKl+wr/FdZBKVYiixHPW2u7lPU8T9HXWZ78fks3Q220i\nIiLlyUtvwEtfDHwaaHYdp4wdmP1cjCslHgT2CnN3DRu4EHgOOCGs84iULC99G7AP8JjrKCWmXHbg\naAG+CBzlJ/ylrsNUskK8+f+dMWYfY0wUOJFgVcRh2Z/tA6SABb3cJiIiUt689B8J3jg/4TpKmdoO\nL7ZLdmjkO67DZK0ETvMT/of8hL8krJMYY75sjPls9tvhwNqwziVS0rz0a8ARwP9Dw4hzVQ47cNwN\n7OEn/J/4Cd+6DlPpqgpwjm8AtwEGuAf4JjDPGPMj4Ljsx1Lg2z1uE5GQHfqTQ0N9/OsK8hQjUuK8\n9GK82KHAFYAH1LoNVHamA68SrNZ0+frCAr8FrvAT/poCnO8G4E5jzDnA8wQrM0SkN166C7gWL/ZP\n4A/Aro4TFbtSbt94jaBt7j7XQWSj0FdKWGuft9buba2daq39irU2AxwNzAM+bK19rbfbws4lIiJS\nNIL+5iRwAMGbZ8mfYpgr8RxwpJ/wzylQQQJr7Rpr7THW2iOstZ/PDhMXkW3x0k8B+wG/dh2lyJVi\nUaIduJZgdYQKEkXGyewGa22rtfZP1tol27pNRESkonjpF4CDga8C+dgWUjYWJVzMlXgDOBPYz0/4\ncxycX0T6y0s346XPA44H9L6kd6U2U+KvBIMs/5+f8Ntch5EtaaCkiIhIMfHSnXjpbxHMmnjGdZwy\nsD9eLEphixJp4CpgVz/h3+wn/EwBzy0i+eCl7wf2BK4B9EZ2c6UyU+LfwAf8hH+Sn/Bfdh1Gtk5F\nCRERkWLkpX2Cq/znEQxHlIFpAPb0E/4KYFnI5+oAfgTs4if8pK7IiZQ4L92Gl/aAvYB/OE5TTGJ4\nsQaKtyjxNHCMn/CP8hN+Xlr3jDHbGWOOMcaMysfjyeZUlBARESlWXjqDl/41wdC17xD0xEr/hd3C\n0QRcD+zsJ/xL/IS/OqTziIgLXvpVvHScYCfBlOM0xWICsJxgiG+xWAic7Cf8aX7CfyhfD2qMGQHc\nSzA4eZYxZnS+HlsCKkqIiIgUOy+9Di99JTAF+LPrOCUorKLEKuBrwCQ/4V/uJ/w38/z4IlJMvPTd\nwB4ELR1NjtO4Nt5P+B1AMRRhHyBYGbGfn/DD+D9yb+Aya+23sufaP4RzVDTt1yciIlIqvPRrwMl4\nsSOA/0MvjHI1Pfs5XztwpIAfADf6Cb81T48pIqXAS7cCHl7sZ8DVwAVU5lbOm+7A4aKlYQPwR+D7\nfsL3wzyRtXYOgDHmCIL/T74R5vkqkVZKiIiIlBovPZdgEObH0RaiuZiKF6sDFjDwpcadBBPcjyeY\nGfFTFSREKpiXXoWXvpSgve5XVN6OSa524HidYGvPyX7CT4RdkOhmjDHAqcAagoKI5JFWSoiIiJQi\nL22BvwB/wYsdS7Dbw0ynmYpXFbCvn/Afn3rL1BeB9/fjvq8CvwFu9hP+8lDSiUjp8tKvA5/Di30T\nuBI4h8pYObHpSomwtQN/A34LPORiRyNrrQUuNMZcC5wA3FHoDOVMRQkREZFS56UfBB7Eix1MUJz4\nCGDchio604HHCeZK9FWUWA3cA/wemOUn/GIa5CYixchLvwF8AS92HUFLx7nAWLehQlWIbUGfBm4F\n/uAn/HdDPM82GWO+DLxtrb0VGA6sdZWlXKkoISIiUi689HzgBLzYVOBLwClUxhW7XHQPu3wS+Ewv\nP3+b4Ercn4E5fsLvLFQwESkjXvot4Gt4sWuBk4EvAAe7DRWKMFZKdAFzCVrl/uYn/Nfz+NiDcQNw\npzHmHOB54EHHecqOihIiIiLlxkv7wGfwYpcCCYIrdru7DeVcbztwdL+4/Asw38WSYBEpU166A7gN\nuA0vtj9wIfApoN5prvzJ10yJdcAsgqLw34txS2Vr7RrgGNc5ypmKEiIiIuXKS79DsEvED7I7diQI\nVk8MdZrLjd3wYjEmT1oInA48rBkRIlIQXvoZ4Gy82BUEK7VOBQ6itNvsBtq+sQ6YB8zOfvzHT/hd\n+YslpUhFCRERkUoQ7NgxFy92EfA/BG/Mj6Ry2jsMcKCf8B8G/uA6jIhUIC/9LvAj4Ed4sYkEReJP\nAB9wmmtghuHFGpk8aVtFiXbgBeBZYCEwH3hGRQjpSUUJERGRSuKlWwjelP8BLzYEOJZgMGYcGOMy\nWgFMAx52HUJEJLtrx/XA9XixHQmKE58ADqB0VlBMAFLA+uznJcDLbCxCLNZ8HsmFihIiIiKVyks3\nsXFb0QjBDhUfJShS7O0yWkim9X2IiEiBeemlwPeA7+HFxhBs7/zB7MeuDpP1Zbyf8F8GhrkOIqVN\nRQkREREBL50h2DLzceAreLHtCSbGH5T92J/SHNDWCjxBMNFdE9NFJGfGmCqCq/9LsjddZK31Qz2p\nl14J3Jn9IPtc/EGCdrsjgZ1CPX//TOj7EJG+qSghIiIiW/LSbwJ/yn6AF6smWD3RXaSYBuxCcb2W\nWA74BLtqPJ/9+tnsFHwRkf7aG/ijtfbLzhIEz8W/y36AF9sOmJrN1v2xJ9DoIJ2KEpIXxfRCQkRE\nRIqVl94ALMh+/Cy4LVYFTALeR1Cg2PTzzuR/ZUUbsIKg+PA2wdT3RXQXIrx00W0lJyIl7SDgI8aY\nIwmeZ8631rqdkRAMy5yT/cjeFosQPOfuRfCcPAHYvsfnfOy6lAFWAm9kP5Zs+3CR3KgoISIiIgPj\npTvZfGlzj5/HhgAxYPhWPtcAnZt8bOjxfQsbixDL8dJrw/vFiIhs4SngaGvt28aYW4HjgXscZ9pS\n0H73SvZjK8fEhhJs41lPsOvSph912c/VBC1vTVv9CM4lklcqSoiIiEg4gkGaTcCbrqOIiAzAc9ba\n9uzXT1PcQye3zUuvJ9glQ6ToqCgRgmXfmBreg4/QcFsREdmSk4FsIiLl7XfGmG8RzKg5EbjOcR6R\nsqSihIiISHlwP5BNRKS8fAO4DTDAPdbahxznESlLKkqIFLFQV92AVt6IlJfiG8gmIlLCrLXPExR8\nRSREEdcBREREJC+6B7JNJxhWdrzjPCIiIiJ90koJERGR8lA+A9lERESkYmilhIiISHlslbuwAAAF\n4ElEQVT4nTFmH2NMlGAg27OuA4mIiIj0RSslREREyoMGsomIiEjJUVFCRESkDGggm4iIiJQitW+I\niIiIiIiIiBMqSoiIiIiIiIiIEypKiIiIiIiIiIgTKkqIiIiIiIiIiBMqSoiIiIiIiIiIEypKiIiI\niIiIiIgTKkqIiIiIiIiIiBMqSoiIiIiIiIiIEypKiIiIiIiIiIgTKkqIiIiIiIiIiBMqSoiIiIiI\niIiIEypKiIiIiIiIiIgTKkqIiIiIiIiIiBMqSoiIiIiIiIiIE1WuA7hwwBW3hvr4fx0a6sNLkQnz\n75P+LomIiIiISDnTSgkRERERERERcUJFCRERERERERFxouiKEsaYG40x840xX3WdRURERERERETC\nU1RFCWPMSUDUWnswsLMxZlfXmUREREREREQkHMZa6zrDe4wxPwb+aa39hzHmk0C9tfamTX5+HnBe\n9tvdgRcdxCw1o4B3XIeQsqG/T7nZ0Vo72nUIEREREZFiV2y7bzQCb2a/fhfYf9MfWmtvAG4odKhS\nZox52lp7oOscUh7090lERERERPKpqNo3gCagPvv1EIovn4iIiIiIiIjkSbG96V8AHJb9eh8g5S6K\niIiIiIiIiISp2No3/gbMM8ZMAD4MHOQ4TzlQu4vkk/4+iYiIiIhI3hTVoEsAY8wI4BhgrrV2ues8\nIiIiIiIiIhKOoitKiIiIiIiIiEhlKLaZEiIiIiIiIiJSIVSUKHPGmLHGmHmuc0hpM8bEjDH3G2Me\nNMb81RhT4zqTiIiIiIiUPhUlylh2PsctQKPrLFLyTgOut9YeCywHjnOcR0REREREykCx7b4h+dUF\nnArc7TqIlDZr7c83+XY0sNJVFhERERERKR8qSpQxa+06AGOM6yhSJowxBwMjrLWPu84iIiIiIiKl\nT0UJEcmJMWY74CfAx11nERERERGR8qCZEiLSp+xgy7uAq6y1S13nERERERGR8qCihIjk4mxgf+Ar\nxpjZxphTXQcSEREREZHSZ6y1rjOIiIiIiIiISAXSSgkRERERERERcUJFCRERERERERFxQkUJERER\nEREREXFCRQkRERERERERcUJFCZEcGGP2Ncbs6zqHiIiIiIhIOVFRQiQ3+2Y/REREREREJE+0JagU\nLWNMPXAXMAxYDbwAPGStnW2MOQPAWnuzMWY28BSwt7X2Q8aYrwAvWGv/Zoy5CngFuA+4FRgD+Nba\nC40x1wCLrLW3G2M8YLG19vZecnwb+J/st29aa4/q7b7A+4EPAA3AKuCTQBdwA7Bb9rZTrbVdef2N\nEhERERERKVFaKSHFbA8gY609ArgJGLKV4w4C5ltrP5T9/i7gw9mvjwD+AZwHPJ99rPHGmL0JihSf\nzh73IeDu3h7cWnsVkASS1tqjsjdv7b7zrLUzgBXAx7If1dnblgHxHH/tIiIiIiIiZa/KdQCRbXgG\neN4Y8yDwMpDe5Gf1QGv26+ettX/p/oG19iVjzA7GmGHAWmttszFmd+AQY8xMYDiwvbX2fmPM0Oxt\nz1trW8mRtfbVnvc1xgAsyB7yHLATwb+xg7OrOYYAi/r1OyAiIiIiIlLGtFJCitk+wKPW2mOBEUAz\nMDr7s+M2Oa6pl/s+CVwC3JP9/kXgh9bamcBXCVYtANwO/JZg5cO2tBK0ZWCy1Yet3Hd69vN+BG0j\nLwK3Z897CfDfPs4jIiIiIiJSMTRTQoqWMWY4cAcwFGgDLgV+QvDGvgaY2z1TIvumf9P77gE8Auxo\nrV1vjGkkaAEZB6wDPm2tXWeMGUlQwHif3cY/BmPMdsCdBCs0rrLWzu153+xsif0JZmAsB04DLPAr\ngpkSFjjdWvvG4H93RERERERESt//b+eObQCEgSAI4noohvoI6IWWqOAIcOAcpJfMTP7SxxucKMFv\ntdbW5QkVe5Lj7W2PEmeS8+NXAQAApiRKwKBvP4yuJFvFLwAAALMTJQAAAIAShi4BAACAEqIEAAAA\nUEKUAAAAAEqIEgAAAEAJUQIAAAAocQM1U5o+lwJJfAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14086c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 样本类型的幸福指数比较，1表示城市，2表示农村\n",
    "f,ax=plt.subplots(1,3,figsize=(18,6))\n",
    "sns.countplot(x='survey_type', hue='happiness', data=train, ax=ax[0])\n",
    "# 在样本类型中，5个happiness level所占比例pie图\n",
    "explode = (0.05,0.03,0,0,0)\n",
    "train['happiness'][train['survey_type']==1].value_counts().plot.pie(autopct='%1.1f%%', ax=ax[1], explode=explode,title='city')\n",
    "train['happiness'][train['survey_type']==2].value_counts().plot.pie(autopct='%1.1f%%', ax=ax[2], explode=explode,title='country')\n",
    "f.suptitle('The number of people with different happiness level by sample type', fontsize=18, verticalalignment='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x138f7cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将年龄分阶段\n",
    "## 按每个年龄阶段分析幸福感\n",
    "# train.dtypes\n",
    "combine=[train,test]\n",
    "for dataset in combine:\n",
    "    dataset.loc[(dataset['age'] > 16) & (dataset['age'] <= 32), 'age'] = 1\n",
    "    dataset.loc[(dataset['age'] > 32) & (dataset['age'] <= 48), 'age'] = 2\n",
    "    dataset.loc[(dataset['age'] > 48) & (dataset['age'] <= 64), 'age'] = 3\n",
    "    dataset.loc[(dataset['age'] > 64) & (dataset['age'] <= 80), 'age'] = 4\n",
    "    dataset.loc[ dataset['age'] > 80, 'age'] = 5 \n",
    "sns.countplot('age',hue='happiness',data=train,palette='Set1')\n",
    "plt.title('The number of people with different happiness level in 5 age',fontsize=15)\n",
    "train['age'] = train['age'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x13c3b470>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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m1kxfPYd/zT9/3M825kraWNI6wL7AXaTvTEzJyycCi5qUmZlZBfq65hCSvgq8UdKXX7Ug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\ncjAzswInBzMzK3ByMDOzgv8PNC+GvlxauQYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x5588940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 分年龄分析\n",
    "# 绘制条形图，得到每个年龄段的频数\n",
    "plt.hist(train['age'], range=(1,6), histtype='bar', align='left', color='blue',alpha=0.5)\n",
    "plt.title('The number of people in 5 age',fontsize=15)\n",
    "plt.xlabel('age: 1->16-32,2->32-48,3->48-64,4->64-80,5->80-.')\n",
    "plt.ylabel('The number of people')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x13dd17f0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FxfODkwhPgFe5zlLCFgIHJhPxp1wHyTc1enrx/GAmcDewgessZWAe4U5r2RWe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TR6AsAl6SRPSnAz0jGtK5ED1JKcTiAdEUDqC6STPMmO5n+Y9HOzM1yse/TdwEd2B9KCCuDcdJIn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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13c3bf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在各个年龄段中，5个happiness level所占比例pie图\n",
    "fig,ax1 = plt.subplots(1,5,figsize=(20,4))\n",
    "# 部分分离开\n",
    "explode = (0.05,0.03,0,0,0)\n",
    "train['happiness'][train['age']==1].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[0], explode=explode,title='16-32')\n",
    "train['happiness'][train['age']==2].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[1], explode=explode,title='32-48')\n",
    "train['happiness'][train['age']==3].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[2], explode=explode,title='48-64')\n",
    "train['happiness'][train['age']==4].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[3], explode=explode,title='64-80')\n",
    "train['happiness'][train['age']==5].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[4], explode=explode,title='80- ')\n",
    "fig.suptitle('The proportion of happiness level in differenr age', fontsize=18, verticalalignment='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14522278>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LhD2H37Va5beN+OvQl2wHUfnBcb3p+Je10vabfy6MxyL/ZztENpVksZnq/nU/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13da4f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在收入合理四个阶段中，5个happiness level所占比例pie图\n",
    "fig,ax1 = plt.subplots(1,4,figsize=(16,4))\n",
    "explode = (0.05,0.03,0,0,0)\n",
    "train['happiness'][train['inc_ability']==1].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[0], explode=explode,title='非常合理')\n",
    "train['happiness'][train['inc_ability']==2].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[1], explode=explode,title='合理')\n",
    "train['happiness'][train['inc_ability']==3].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[2], explode=explode,title='不合理')\n",
    "train['happiness'][train['inc_ability']==4].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[3], explode=explode,title='非常不合理')\n",
    "fig.suptitle('The proportion of happiness level in differenr inc_ability', fontsize=18, verticalalignment='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FACQdCewFvAq8lorfAgYB5TmWNdXuBZJqJNXU1dUVKHozM+voSiYpSuoP/Bw4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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x145ad550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 与同龄人比较社会经济地位，5个happiness level的堆叠条形图\n",
    "index = np.arange(1,6)\n",
    "x1 = train[train['status_peer']==1]['happiness'].groupby(train['happiness']).count()\n",
    "x2 = train[train['status_peer']==2]['happiness'].groupby(train['happiness']).count()\n",
    "x3 = train[train['status_peer']==3]['happiness'].groupby(train['happiness']).count()\n",
    "width = 0.3\n",
    "# bottom=x，表示从x的值开始堆叠上去\n",
    "plt.bar(left=index, height=x1, width=width, color='b', label='较高')\n",
    "plt.bar(left=index, height=x2, width=width, color='r', bottom=x1, label='差不多') \n",
    "plt.bar(left=index, height=x2, width=width, color='y', bottom=x2, label='较低') \n",
    "plt.xlabel('happiness')\n",
    "plt.ylabel('number')\n",
    "plt.title('The stack barplot of number in different happiness level with status_peer')\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x145e7978>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UExV6ihSE0T7A71DX81L8GjcmgaZjl5IFYbQ3bqc4xXeWFHsTOC6XzdzsO4jU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\n69VKxU6rXeMTFqkyQRgdhBt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jrbUXAUsqF+k9WyawDZ+2Bf5GZ8fkfA/mspmfAV/E/e2l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\nwIzFmII6LxSy39xwtW14450ci5YsOKqtuZ0Np22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ISuhjjEqxPoiNTls0idncdDkdvoL5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TAAAg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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14600898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在社会公平5个阶段中，5个happiness level所占比例pie图\n",
    "fig,ax1 = plt.subplots(1,5,figsize=(20,4))\n",
    "explode = (0.05,0.03,0,0,0)\n",
    "train['happiness'][train['equity']==1].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[0], explode=explode,title='完全不公平')\n",
    "train['happiness'][train['equity']==2].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[1], explode=explode,title='比较不公平')\n",
    "train['happiness'][train['equity']==3].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[2], explode=explode,title='说不上公平不公平')\n",
    "train['happiness'][train['equity']==4].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[3], explode=explode,title='比较公平')\n",
    "train['happiness'][train['equity']==5].value_counts().plot.pie(autopct='%1.1f%%', ax=ax1[4], explode=explode,title='完全公平')\n",
    "fig.suptitle('The proportion of happiness level in differenr equity', fontsize=18, verticalalignment='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x148e3630>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RJEnqcPUGs9sj4krgcuAVgMyc27SqJGk9dMHJ1w942RPPP6yBlUhaX9UbzFYA\nDwD7UgxjJmAwkyRJaqB6g9liijDWHcokSZLUYP25JVMAWwCHAxOaU44kSVLnqqvHLDO/V/PwXyLi\noibVI0mS1LHqCmYRUdtDti2wW3PKkSRJ6lz1HmN2IKuOLXsNOKE55UiSJHWueo8xOwd4Bngb8Bzw\nYNMqkiRJ6lD1BrPvAiOAG4F3AJc2rSJJkqQOVe9Q5o6Z+Yly+qaImNOsgiRtOPb5wsBvqbvw659s\nYCWStH6oN5g9GRFfAn4BjAeeaF5JkiRJnaneocy/pghxU4CXgL9qWkWSJEkdqt5gdgXwWGZOA4ZS\nHHMmSZKkBqo3mA3rvshsZp4DbNO8kiRJkjpTvceYLYmIvwPmU9zI/NnmlSRJktSZ6u0xOwb4PcUx\nZn8APtWsgiRJkjpVvffK/CMwo8m1SJIkdbR6hzIlSdqgXXDy9QNa7sTzD2twJepk9Q5lSpIkqckM\nZpIkSRVhMJMkSaoIg5kkSVJFGMwkSZIqwmAmSZJUEQYzSZKkimhZMIuIiyLisHL6koi4MyJOr5m/\nWpskSVInaUkwi4j3Adtl5vURcTiwcWaOB0ZHxK69tbWiLkmSpCppejCLiE2BfwUWR8T/ArqAq8rZ\nNwMHrKGtt3VNjYgFEbFg6dKlzSxbkiSp5VrRY/ZJ4NfAPwD7AScAT5TzlgEjgMG9tK0mM2dm5tjM\nHDt8+PCmFi1JktRqrbhX5l7AzMx8OiKuAP4C2KKcN4QiHL7cS5skSVJHaUUAehgYXU6PBUaxaqhy\nT2AxsLCXNkmSpI7Sih6zS4DvRsSRwKYUx5NdFxHbA5OBcUACt/dokyRJ6ihND2aZ+TvgiNq2iOgC\nDgL+ITNfXFObJElSJ2lFj9lqMnM5q87CXGObJElSJ/Ege0mSpIowmEmSJFVEW4YyJamZ9p+x/4CX\nveOkOxpYiST1jz1mkiRJFWEwkyRJqgiDmSRJUkUYzCRJkirCYCZJklQRBjNJkqSKMJhJkiRVhMFM\nkiSpIgxmkiRJFWEwkyRJqgiDmSRJUkUYzCRJkirCYCZJklQRBjNJkqSKMJhJkiRVhMFMkiSpIgxm\nkiRJFWEwkyRJqgiDmSRJUkUYzCRJkirCYCZJklQRBjNJkqSKMJhJkiRVhMFMkiSpIgxmkiRJFbFJ\nuwuQJKlR5kyYOPCF9z2lcYVIA2SPmSRJUkUYzCRJkirCYCZJklQRBjNJkqSKMJhJkiRVhMFMkiSp\nIgxmkiSuq4N0AAAJDUlEQVRJFWEwkyRJqoiWBbOIGBER95TTl0TEnRFxes381dokSZI6SSt7zL4B\nbBERhwMbZ+Z4YHRE7NpbWwvrkiRJqoSWBLOIeD/wCvA00AVcVc66GThgDW2SJEkdpenBLCI2A74M\nnFo2DQaeKKeXASPW0NbbuqZGxIKIWLB06dLmFS1JktQGregxOxW4KDNfKB+/DGxRTg8pa+itbTWZ\nOTMzx2bm2OHDhzexZEmSpNZrRTCbBJwQEbOBPwcOY9VQ5Z7AYmBhL22SJEkdZZNmbyAzJ3RPl+Hs\nQ8DtEbE9MBkYB2QvbZIkSR2lpdcxy8yuzHyJ4mD/ecCBmflib22trEuSJKkKmt5j1pvMXM6qszDX\n2CZJktRJvPK/JElSRRjMJEmSKsJgJkmSVBEGM0mSpIowmEmSJFWEwUySJKkiDGaSJEkV0ZbrmEnr\ng/1n7D+g5e446Y4GV6JWmjNh4sAX3veUxhUiqSPZYyZJklQRBjNJkqSKMJhJkiRVhMFMkiSpIgxm\nkiRJFWEwkyRJqgiDmSRJUkUYzCRJkirCYCZJklQRBjNJkqSKMJhJkiRVhMFMkiSpIgxmkiRJFWEw\nkyRJqgiDmSRJUkUYzCRJkirCYCZJklQRBjNJkqSKMJhJkiRVxCbtLkCSpFr7z9h/wMue4681ref8\nBEsVcsHJ1w942RPPP6yBlUiS2sGhTEmSpIowmEmSJFWEwUySJKkiDGaSJEkV4cH/epOzj54y4GVP\nu+KaBlYiSVLnscdMkiSpIgxmkiRJFWEwkyRJqoimH2MWEVsC/w/YGHgF+CjwbWA34MeZeVb5vEt6\ntmlg1uUipZIkqX1a0WN2FPDNzPwA8DRwJLBxZo4HRkfErhFxeM+2FtQlSZJUKU3vMcvMi2oeDgeO\nBv6xfHwzcACwF3BVj7aHml2bJElSlbTsGLOIGA8MAx4HniiblwEjgMG9tPW2jqkRsSAiFixdurTJ\nFUuSJLVWS4JZRLwNmAF8BngZ2KKcNaSsobe21WTmzMwcm5ljhw8f3tyiJUmSWqzpwSwiNgOuBr6U\nmY8CCymGKgH2BBavoU2SJKmjtOLK/8cCewOnRcRpwKXAJyJie2AyMA5I4PYebZIkSR2lFQf/f5vi\n8hhviIjrgIOAf8jMF8u2rp5tkiRJnaQt98rMzOWsOgtzjW2SJEmdxJuYS6qkx87YY+ALD3tr4wqR\npBbylkySJEkVYTCTJEmqCIOZJElSRRjMJEmSKsJgJkmSVBEGM0mSpIrwchlSg82ZMHHgC+97SuMK\nkSStdwxmkiRpvXbBydcPeNkTzz+sgZWsO4cyJUmSKsJgJkmSVBEOZWqD5m19JEnrE3vMJEmSKsJg\nJkmSVBEGM0mSpIowmEmSJFWEwUySJKkiPCtTkiS1nXdNKdhjJkmSVBEGM0mSpIowmEmSJFWEwUyS\nJKkiPPhfktSrfb5w+YCXXfj1TzawEqlz2GMmSZJUEQYzSZKkinAos4n2n7H/gJe946Q7GliJOsHZ\nR08Z8LKnXXFNAyuRJA2UPWaSJEkVYY+ZJKnhHjtjj4EvPOytjStEWs/YYyZJklQR9phJUgV4jKAk\nsMdMkiSpMuwxq6g5EyYOfOF9T2lcIZIkqWUMZn3wAFZJktQqDmVKkiRVhD1mkiStA0/cUCPZYyZJ\nklQR9phJkqSGWJdbEZ5jJAEqFswi4hJgN+DHmXlWu+uRJEkbtqoNRVdmKDMiDgc2zszxwOiI2LXd\nNUmSJLVSlXrMuoCryumbgQOAh9pWjSRJ67F9vnD5gJdd+PVPNrAS9UdkZrtrAN4YxvznzLw3Ij4A\n7J2Z5/V4zlRgavnwncCDLS6zlbYBnmt3ERoQ37v1m+/f+s33b/21ob93IzNzeF9PqlKP2cvAFuX0\nEHoZZs3MmcDMVhbVLhGxIDPHtrsO9Z/v3frN92/95vu3/vK9K1TmGDNgIcXwJcCewOL2lSJJktR6\nVeox+xFwe0RsD0wGxrW5HkmSpJaqTI9ZZr5EcQLAPODAzHyxvRW1XUcM2W6gfO/Wb75/6zffv/WX\n7x0VOvhfkiSp01Wmx0yS2i0i3hYRB0XENu2uRVJnMphVUESMiIjb212H+icitoyIGyPi5oj494jY\nrN01qX4RMQy4AdgP+FlE9Hlau6ql/O68p911qH8iYpOIeCwiZpf/9mh3Te1kMKuY8pfD94DB7a5F\n/XYU8M3M/ADwNPDBNtej/hkDfD4zzwZuAvZucz3qv2+w6rJLWn+MAa7MzK7y3y/bXVA7GcyqZyXw\nUeCldhei/snMizLzlvLhcODZdtaj/snMOZk5LyImUPSa3dnumlS/iHg/8ArFH0Vav4wDDo2I+RFx\nSURU6YoRLWcwq5jMfMkzUtdvETEeGJaZ89pdi/onIoLiD6PlwIo2l6M6lYcNfBk4td21aEDuAiZl\n5n7ApsD/bHM9bWUwkxooIt4GzAA+0+5a1H9ZOAFYBHyo3fWobqcCF2XmC+0uRAOyKDOfKqcXALu2\ns5h2M5hJDVL+1X418KXMfLTd9ah/IuLvIqL7zs1bAf6SX39MAk6IiNnAn0fExW2uR/3z/YjYMyI2\nBj4M3NvugtrJ65hVVETMzsyudteh+kXE8cA5rPpS+XZmzmpjSeqH8sSbq4DNgV8BJ6RfkOsdvzvX\nPxGxO/B/gQCuy8zT2lxSWxnMJEmSKsKhTEmSpIowmEmSJFWEwUySJKkiDGaSJEkVYTCTJEmqCIOZ\nJElSRXT0/agkdaaIGAJcAwwGHgamAf8GvA34b4rrmP0jcDmwLfDL8o4AktRU9phJ6kRvp7h11iRg\nFDAGWAIcAOySmecAU4FfZeYE4O0RMaZNtUrqIAYzSZ1oBfBZ4AcUvWQJ7APMBf6pfM47gY+Ut/kZ\nDbyj9WVK6jRe+V9Sx4mIM4EHKG7BNAf4KcVw5b/XPOdvgBcz89KIOBR4JDPva0vBkjqGwUxSx4mI\nCcBFwHJgY+BLFL1nvwGeBc4CHgEuBbYDXgI+npkvtaVgSR3DYCap40XEccDHKIY4VwDfyMzZbS1K\nUkcymEmSJFWEB/9LkiRVhMFMkiSpIgxmkiRJFWEwkyRJqgiDmSRJUkUYzCRJkiri/wOJ1hf5eS8u\nFQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13c5d7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 每个年龄段的具有不同工作经历的人数\n",
    "f,ax = plt.subplots(1,1,figsize=(10,6))\n",
    "sns.countplot('age',hue='work_exper', data=train)\n",
    "plt.title('The number of people with different work experence by age',fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LTpJvNGEsNDHonb2M/fooY78+SlSC9gDojbd+5JExc/h2wVZtP7IMTHx6IU9MXsDU578j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W6zbn5MXJ4iHWN6OSue6CHVJamUZ29u3aRuzfFikvK1xO7NI3ZvHuP6B/Fgn0DmbMhgQ1IpxsAf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UnSDmAakA5sBWYDv9dpAtrKeK8unqZtHolniwjwbfoW3pVSlXQSx7ptHvbde1KTbeHWp40N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\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uVglH95/jxQ9GsG5ZNLeP616lefX/bqr6/5vPbGLKdPXhjWMHztGll+M3KozsHsy4L46R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\nss2SNM1S/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14932898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制热图，热图的用途: seaborn中的heatmap热力图可以得到数据表里多个特征两两的相关度（pearson相关系数计算的）\n",
    "# data.corr()：得到关联矩阵，cmap: 从数字到色彩空间的映射，取值是matplotlib包里的colormap名称或颜色对象，\n",
    "# annot(annotate的缩写): 默认取值False；如果是True，在热力图每个方格写入数据\n",
    "# linewidths:定义热力图里“表示两两特征关系的矩阵小块”之间的间隔大小\n",
    "#外界层面（物质）：age，inc_ability，gender，status_peer，family_status，equity，class，income，house，survey_type，\n",
    "#个人层面（精神）：health，work_exper，health_problem，depression，learn，relax，edu，social_friend,marital,work_status\n",
    "sns.heatmap(train[['happiness','age','inc_ability','gender','status_peer','family_status','equity','income','class','house','survey_type',\n",
    "                   'work_exper','health_problem','depression','learn','relax','edu','social_friend','health','marital','work_status']].corr(),\n",
    "            annot=True,cmap='RdYlGn',linewidths=0.2) \n",
    "fig=plt.gcf() # 获取当前的figure\n",
    "fig.set_size_inches(12,10) # 设置尺寸\n",
    "plt.title('The correlation between features by heatmap',fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>happiness</th>\n",
       "      <th>survey_type</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>county</th>\n",
       "      <th>survey_time</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth</th>\n",
       "      <th>nationality</th>\n",
       "      <th>...</th>\n",
       "      <th>public_service_1</th>\n",
       "      <th>public_service_2</th>\n",
       "      <th>public_service_3</th>\n",
       "      <th>public_service_4</th>\n",
       "      <th>public_service_5</th>\n",
       "      <th>public_service_6</th>\n",
       "      <th>public_service_7</th>\n",
       "      <th>public_service_8</th>\n",
       "      <th>public_service_9</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>32</td>\n",
       "      <td>59</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>1959</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>85</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>1992</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>85.0</td>\n",
       "      <td>70</td>\n",
       "      <td>90</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "      <th>2</th>\n",
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       "      <td>83</td>\n",
       "      <td>126</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "      <td>1967</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>90</td>\n",
       "      <td>80</td>\n",
       "      <td>75</td>\n",
       "      <td>79</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "      <td>1943</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "      <td>1994</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 141 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  happiness  survey_type  province  city  county  survey_time  gender  \\\n",
       "0   1          4            1        12    32      59         2015       1   \n",
       "1   2          4            2        18    52      85         2015       1   \n",
       "2   3          4            2        29    83     126         2015       2   \n",
       "3   4          5            2        10    28      51         2015       2   \n",
       "4   5          4            1         7    18      36         2015       2   \n",
       "\n",
       "   birth  nationality ...   public_service_1  public_service_2  \\\n",
       "0   1959            1 ...                 50                60   \n",
       "1   1992            1 ...                 90                70   \n",
       "2   1967            1 ...                 90                80   \n",
       "3   1943            1 ...                100                90   \n",
       "4   1994            1 ...                 50                50   \n",
       "\n",
       "   public_service_3 public_service_4  public_service_5  public_service_6  \\\n",
       "0                50               50              30.0                30   \n",
       "1                70               80              85.0                70   \n",
       "2                75               79              80.0                90   \n",
       "3                70               80              80.0                90   \n",
       "4                50               50              50.0                50   \n",
       "\n",
       "   public_service_7  public_service_8  public_service_9  age  \n",
       "0                50                50                50    3  \n",
       "1                90                60                60    1  \n",
       "2                90                90                75    2  \n",
       "3                90                80                80    4  \n",
       "4                50                50                50    1  \n",
       "\n",
       "[5 rows x 141 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>edu_other</th>\n",
       "      <th>property_other</th>\n",
       "      <th>invest_other</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  edu_other property_other invest_other\n",
       "0       NaN            NaN          NaN\n",
       "1       NaN            NaN          NaN\n",
       "2       NaN            NaN          NaN\n",
       "3       NaN            NaN          NaN\n",
       "4       NaN            NaN          NaN"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.select_dtypes(include=['object']).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dellist = ['edu_other','property_other','invest_other']\n",
    "for i in dellist:\n",
    "    del train[i]\n",
    "    del test[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train.to_csv('happiness_train_clean.csv',index=0)\n",
    "test.to_csv('happiness_test_clean.csv',index=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# train.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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